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- Design and implement AI-driven workflows that generate actionable, human-directed insights. - Build and optimize LLM-powered systems for summarization, recommendation, classification, and orchestration. - Implement agentic AI patterns that operate under explicit human guardrails and approval flows. - Translate unstructured data into structured Action Points™ aligned with user goals. - Develop and maintain prompt architectures and evaluation frameworks for consistent AI output quality. - Architect and develop semi-autonomous AI agents with mandatory human-in-the-loop control points, safety guardrails, and review checkpoints. Voice to Text - Design and implement AI-driven voice workflows that generate actionable, human-directed insights. - Architect real-time speech-to-text pipelines for AI control, command execution, and Action Point generation. - Implement low-latency voice ingestion using Azure Speech SDK for real-time transcription, intent detection, and multilingual support. - Ensure voice inputs are securely processed, auditable, and aligned with human authorization and approval flows. - Translate spoken input into structured, human-directed Action Point that govern downstream AI agents. Integration & Deployment - Deploy AI services using FastAPI and integrate them securely with backend systems. - Collaborate with frontend and backend engineers to expose AI capabilities via secure APIs. - Ensure AI systems scale reliably in cloud environments (Azure-based). Performance, Ethics & Governance - Optimize inference latency, throughput, and cost efficiency. - Implement observability, logging, and monitoring for AI workflows. - Apply responsible AI principles: transparency, auditability, and human override by design.
Role Description DreamWorks is seeking a highly collaborative AI Architect who will be a hands-on technical leader assistive across multiple teams aimed to provide results to both technical and creative departments. This role involves identifying, designing, and delivering AI-powered agentic architecture that eliminates the repetitive, manual, low-creativity tasks that pull artists and production management away from their craft, while maintaining high operational availability to ensure production systems run reliably. An ideal candidate should be an adventurous, growth-minded problem solver who thrives in collaborative environments, values transparency and trust, and possesses a deep passion for leveraging technology to empower artists and storytellers. If you believe the best technology disappears into the pipeline and lets artists focus on what only humans can do, join us in #livingthedream and #doingyourdreamwork! - Collaborate and advise on next-generation AI-assisted agentic workflows strategy alongside product owners, developers and creatives. - Design and own the architecture for AI-powered frameworks and automation across the entire Studio pipeline and platforms. - Define the end-to-end architecture for ingestion, processing, and routing of operational telemetry (metrics, logs, traces). - Integrate solutions with popular industry DCC tools. - Prototype solutions for high-friction tasks: asset tagging, scene prep, render queue management, shot setup, and versioning. - Define technical standards and integration patterns for AI tooling across departments and shows. - Evaluate and select AI frameworks, foundation models, and automation technologies for creative production and operational stability. - Build and maintain a library of reusable AI components and automation patterns. - Partner with platform, systems and security teams to monitor model drift, system latency, and system security. - Write, test, and deploy production-ready tools that run reliably inside active show pipelines. - Develop reference implementations that set the canonical pattern for future pipeline AI work. - Partner with engineers and TDs to fold automation into existing artist-facing toolsets. - Maintain and iterate on deployed tools based on artist feedback and production data. - Drive adoption across both technical and creative departments so tools are understood, trusted, and used. - Create lightweight training and documentation for artists and engineers. - Establish metrics for automation impact and report results to studio leadership on a regular cadence. - Champion a culture of continuous improvement and surface new automation opportunities as workflows evolve. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - 10+ years building production systems, with 2+ years building AI/ML systems for real workflows. - Hands-on experience deploying enterprise software in AI, data, or integration environments. - Expertise with containerization, orchestration, Python, TypeScript, React, and AI frameworks such as LangGraph, Spring AI and MCP. - Deep understanding of LLM model integration and tuning. - Experience with designing automation that reduces manual work in complex, multi-stakeholder environments. - Proven ability to influence senior engineers without authority and to be the person others learn from. - History of building and supporting durable artifacts: frameworks, templates, training, open source that extend to other projects. - Excellent communication skills and the ability to translate fluently between artists, production management, and engineers. - Genuine passion for animation, storytelling, or creative production. - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. Requirements - 2+ years in a Principal, Staff, or Lead role responsible for AI or pipeline automation, ideally in a creative studio. - Strong understanding of the animation production pipeline, departmental workflows, and industry-standard digital content creation (DCC) software. - Familiarity with animation frameworks and standards such as USD, Autodesk Flow Production Tracking and Jira. - Experience measuring and reporting the productivity impact of engineering tooling investments. - Stays current with AI trends and emerging technologies. - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-DreamWorks worksite, most commonly an employee’s residence. Benefits - Salary Range: $190,000 - $230,000 yearly
Verint is a publicly traded information technology and services company offering solutions designed to help organizations make more informed, effective, and timely decisions. Softw
Role Description The Sr. Conversational AI Consultant serves as a strategic advisor and lead consultant for customers leveraging AI-powered customer experience and operational solutions. This role partners closely with customer stakeholders, executive leaders, and internal cross-functional teams to drive successful solution adoption, optimize business processes, and deliver measurable business outcomes through strategic consulting, analytics, and technical expertise. Serving as the consulting lead on customer engagements, the Sr. Conversational AI Consultant is responsible for guiding solution strategy, business transformation initiatives, and value realization efforts while partnering with Program Managers to ensure successful execution. Principal Duties and Essential Responsibilities - Customer Consulting & Solution Optimization - Serve as the lead consultant and primary strategic advisor for customers utilizing AI-powered solutions, providing guidance throughout the customer lifecycle. - Lead the consulting workstream for customer engagements, driving solution adoption, optimization, and business transformation initiatives. - Partner with customer stakeholders to understand business objectives, operational challenges, and success criteria, recommending solutions that deliver measurable business outcomes. - Establish trusted advisor relationships with business leaders, operational stakeholders, and executive sponsors. - Facilitate discovery sessions, workshops, business reviews, and stakeholder discussions to align priorities, define success measures, and drive customer success. - Develop strategic success plans in collaboration with Program Managers, focusing on measurable business outcomes, adoption goals, and value realization. - Identify opportunities to increase solution utilization, improve operational effectiveness, and expand customer value. - AI Subject Matter Expertise - Serve as a senior subject matter expert on conversational and generative AI technologies, providing strategic guidance, industry best practices, and solution recommendations. - Lead the implementation, configuration, testing, validation, and optimization of AI-powered capabilities, including Prompt-Driven AI, Classifier-Driven AI, AI Tags, Auto QM, Advanced Sentiment Models, Trending Topics, and related technologies. - Assess customer processes, workflows, and operational practices to identify opportunities for automation, efficiency gains, quality improvement, and enhanced customer outcomes. - Advise customers on AI adoption strategies, governance considerations, operational readiness, and emerging technology capabilities. - Provide guidance on workforce optimization practices and customer experience improvement strategies when applicable. - Analytics & Business Insights - Analyze operational, customer experience, and solution performance data to identify trends, risks, opportunities, and strategic recommendations. - Develop and deliver executive-level reports, dashboards, presentations, business reviews, and value realization assessments that communicate business impact. - Define, establish, and monitor key performance indicators (KPIs), benchmarks, and success measures aligned with customer objectives. - Translate complex data into actionable insights that support decision-making and drive continuous improvement. - Problem Resolution & Cross-Functional Collaboration - Lead the investigation and resolution of complex business and technical issues through root cause analysis, risk assessment, and strategic problem-solving. - Serve as an escalation point for complex customer issues, ensuring timely resolution and maintaining customer confidence. - Partner with Program Managers to align consulting activities with overall program objectives and customer success goals. - Collaborate with Product Management, Engineering, Support, Customer Success, and Professional Services teams to address customer challenges and identify opportunities for product and process improvement. - Provide consulting leadership and subject matter expertise across customer engagements and internal initiatives. - Customer Success & Continuous Improvement - Drive customer success through recommendations that increase adoption, utilization, and business value. - Leverage customer feedback, performance data, and industry trends to optimize outcomes. - Influence customer strategies through data-driven insights and best practices. - Document recommendations, engagement outcomes, and lessons learned to support knowledge sharing. - Manage multiple customer engagements while maintaining high customer satisfaction. - Contribute to consulting best practices, methodologies, and reusable assets. Qualifications - Bachelor's degree in Business, Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and practical experience. - Minimum of 7 years of experience in customer-facing consulting, solution consulting, professional services, technical consulting, application consulting, or related advisory roles. - Demonstrated experience leading complex customer engagements and delivering successful business outcomes. - Strong understanding of AI-powered technologies, including prompt-based AI, classifier-based AI, conversational AI, and related automation technologies. - Proven ability to act as a trusted advisor and influence stakeholders across multiple levels of an organization. - Strong analytical, problem-solving, and troubleshooting skills. - Experience developing executive presentations, business reviews, reports, dashboards, and actionable business insights. - Excellent verbal and written communication skills. - Strong presentation, workshop facilitation, and stakeholder management skills. - Ability to collaborate effectively across cross-functional teams and influence without direct authority. - Demonstrated ability to independently manage multiple priorities and customer engagements. - Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations. Preferred Requirements - Experience supporting contact center operations or customer experience environments. - Experience with Workforce Management (WFM) solutions, preferably Calabrio or Verint Solution. Benefits - 2025 Benefits Offering
Bringing peace of mind through better health to our customers and communities
Role Description We’re hiring a Senior AI Workflow Engineer to help drive this work within Commercial Finance. In this role, you’ll be embedded directly with our finance teams (including underwriting) to help them imagine what’s possible beyond today’s tooling. - Experience with Generative AI, LLM integration, or agent framework - Understanding of APIs, orchestration, and integration patterns - Proficiency in Python and associated AI / ML libraries and frameworks - Experience in healthcare (other payers, hospital systems, health tech companies) and/or experience working with finance teams If you’re inspired by our mission, we’d love to hear from you! Notes: - While this is a fully remote role, a final onsite interview at our Chattanooga, TN, headquarters will be required. - Sponsorship is not available for this role. Qualifications - Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master’s or PhD degree is a plus. - 4+ years software engineering experience including automation pipelines or an equivalent combination of education, training, and demonstrated skills. - Strong proficiency in Python; experience with cloud platforms. - Understanding of APIs, orchestration, and integration patterns. - Experience with Generative AI, LLM integration, or agent frameworks. - Strong communication and stakeholder-collaboration skills. Requirements - Advanced proficiency in Python and associated AI/ML libraries and frameworks. - Deep experience with LLMs, NLP, and GenAI frameworks (LangChain, HuggingFace, LlamaIndex). - Familiarity with containerization (Docker, Kubernetes) and microservices architecture. - Basic analytical and problem-solving skills. - Good verbal and written communication skills. Ability to document work clearly. - Strong business acumen and ability to translate strategic priorities into technical requirements. - Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking. Company Description
Home Depot is a Fortune 500 company and the world's largest specialty retailer of home-improvement products. Founded in 1978 with its first two stores in Atlant
Role Description The Software Engineer is responsible for assisting in developing and designing a product that Home Depot customers and associates will love. As a Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineers may be involved in product configuration, security, resilience, performance tuning and production monitoring. - 60% Delivers and Executes: Assists in developing, testing, deploying, and maintaining software; Follows best practices established by the organization and participates in improvement conversations; Consistently helps the team achieve results, even under tough circumstances. - 20% Learns and Grows: Learns through successful and failed experiments when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels. - 20% Plans and Aligns: Builds partnerships and works collaboratively with others to meet shared objectives; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people. Qualifications - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Requirements - Exposure to AI-assisted development tools (e.g., GitHub Copilot or similar) and willingness to develop fluency with evolving AI tooling as part of standard practice. - Exposure to an object-oriented programming language (preferably Java). - Exposure to source code version control. - Exposure to Relational or noSQL database technology. - Exposure to cloud computing techniques. - Exposure to CI/CD tools. - Exposure to microservice-based architecture. Benefits - Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Company Description For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $50,000.00 - $130,000.00.
Home Depot is a Fortune 500 company and the world's largest specialty retailer of home-improvement products. Founded in 1978 with its first two stores in Atlant
Role Description The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning and production monitoring. Staff Software Engineers contribute to foundational code elements that can be reused as well as architectural diagrams and other product-related documentation. As a Staff Software Engineer, you will be a core player on the product team and are expected to build and grow the skillsets of the more junior Engineers. Key Responsibilities - 50% Delivery and Execution: - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide. - Takes a broad view when approaching issues; using a global lens. - Consistently achieves results, even under tough circumstances. - Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production. - Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm. - 10% Learns and Grows: - Actively seeks ways to grow and be challenged using both formal and informal development channels. - Learns through successful and failed experiments when tackling new problems. - 20% Plans and Aligns: - Creates new and better ways for the organization to be successful. - Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. - Works with the Product Team to ensure user stories are developer ready, easy to understand and testable. - Collaborates with other team members in agile processes. - Relates openly and comfortably with diverse groups of people. - Adapts approach and demeanor in real time to match the shifting demands of different situations. - 20% Supports and Enables: - Fields questions from product and engineering teams. - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions. - Notes gaps on the team and provides suggestions for changes to make the team more productive. Qualifications - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Preferred Qualifications - Experience working with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar coding agents) and the ability to evaluate output quality, not just generate it. - Experience authoring or maintaining agent instruction layers, repo-level AI context files, or equivalent intent artifacts that shape AI behavior at the codebase level. - Experience mentoring engineers on responsible AI tool usage, including recognizing the limits of AI-generated code. - Experience with security frameworks for user and services authorization and authentication. - Experience with creating and executing unit, functional, destructive and performance tests. - Experience with modern debugging and root cause analysis techniques. - Experience with version control systems. - Experience in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security. - Exposure to developing technical roadmaps including work estimation, refactoring and modernizing legacy systems. Minimum Education - The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Pay Range The pay range for this position is between $120,000.00 - $190,000.00.
Home Depot is a Fortune 500 company and the world's largest specialty retailer of home-improvement products. Founded in 1978 with its first two stores in Atlant
Role Description The Sr. Software Engineer is responsible for independently developing and consistently redesigning/refactoring a product to adapt to our customers and associates needs. As a Sr. Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Sr. Software Engineers may be involved in product and tool selection, configuration, security, resilience, performance tuning and production monitoring as well as mentoring less experienced engineers. Key Responsibilities - 50% Delivery and Execution: - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide. - Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm. - Consistently achieves results, even under tough circumstances. - Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production. - Takes a broad view when approaching issues; using a global lens. - 20% Learns and Grows: - Learns through successful and failed experiments when tackling new problems. - Actively seeks ways to grow and be challenged using both formal and informal development channels. - 20% Plans and Aligns: - Collaborates with other team members in agile processes. - Creates new and better ways for the organization to be successful. - Works with the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable. - Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. - Adapts approach and demeanor in real time to match the shifting demands of different situations. - Relates openly and comfortably with diverse groups of people. - 10% Supports and Enables: - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions. Qualifications - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Preferred Qualifications - Familiarity with AI-assisted development tools and demonstrated ability to integrate them into a production workflow with appropriate review and validation practices. - Experience contributing to or consuming shared prompt libraries, AI workflow assets, or reusable AI-enabled development patterns. - Experience with security frameworks for user and services authorization and authentication. - Experience with creating and executing unit, functional, destructive and performance tests. - Experience with modern debugging and root cause analysis techniques. - Experience with version control system. Minimum Education - The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Pay Range The pay range for this position is between $80,000.00 - $180,000.00 for California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents.
G2i is a hiring platform run by engineers that match you with pre-vetted React and React Native engineers.
Role Description We’re looking for a Senior or Staff Software Engineer who is highly proficient in TypeScript, strong on the backend, and comfortable contributing across the full stack. You’ll join a small engineering team and take meaningful ownership of architecture, implementation, and delivery. Your initial work will support an important enterprise customer, requiring you to collaborate directly with stakeholders, translate their needs into product capabilities, and deliver high-quality solutions independently. This is an excellent opportunity for an engineer who enjoys early-stage environments, modern serverless architecture, customer-facing problem-solving, and AI-native software development. What You’ll Do - Design, build, and ship production features across Vallor’s TypeScript stack - Own backend services, APIs, integrations, data flows, and serverless infrastructure - Contribute to the frontend when needed using Next.js and TypeScript - Work directly with enterprise customers to understand their workflows and technical requirements - Translate customer needs into well-scoped, maintainable product features - Communicate tradeoffs, clarify requirements, and push back constructively when needed - Build integrations across enterprise systems, contract platforms, communication tools, and third-party APIs - Design and maintain serverless, event-driven systems on AWS - Contribute to infrastructure-as-code workflows using SST and related tooling - Use AI coding agents extensively to accelerate development and parallelize work - Review, test, debug, and improve AI-generated code rather than accepting raw output - Maintain a high standard for code quality, security, reliability, and maintainability - Help shape engineering practices and technical direction as the team grows - Identify opportunities beyond the initial customer requirements and turn them into valuable product improvements Qualifications - Senior or Staff-level software engineering experience - Deep professional experience with TypeScript - Strong backend engineering skills using Node.js, Bun, or similar runtimes - Ability to contribute across the full stack, including modern React or Next.js applications - Experience building and operating production systems on AWS - Strong understanding of serverless and event-driven architecture - Experience designing APIs, integrations, and distributed backend workflows - Experience with PostgreSQL or similar relational databases - Familiarity with infrastructure as code - Strong product judgment and ability to turn ambiguous needs into shipped solutions - Excellent written and verbal English communication - Ability to work directly with customers and non-technical stakeholders - Strong organization, attention to detail, and project ownership - Experience using advanced AI coding tools or agents as a core part of daily development - Ability to critically review and take ownership of AI-generated code Requirements - Previous experience as a founding engineer or early-stage startup engineer - Experience in a forward-deployed, solutions engineering, implementation, or technical consulting role - Experience working directly with enterprise customers - Deep knowledge of AWS infrastructure and systems architecture - Experience with SST, Pulumi, or comparable infrastructure-as-code tools - Experience coordinating multiple AI coding agents in parallel - Experience building enterprise AI products or workflow-automation platforms - Experience integrating with systems such as SAP, NetSuite, Salesforce, Snowflake, Microsoft 365, Slack, or contract lifecycle management platforms - Public projects, open-source contributions, or code samples that demonstrate engineering quality - Experience bringing structure and engineering maturity to a small, fast-growing team Benefits - Target range of USD $100,000–$140,000 annually, with flexibility up to approximately $200,000 for exceptional talent - Remote work options, with a preference for candidates in Europe Company Description Our client is building an enterprise-ready AI coworker for procurement, legal, and sales teams. Its platform connects with the systems companies already use—including ERPs, contract platforms, email, and collaboration tools—to review contracts, surface risks, track obligations, and deliver grounded answers with citations to the underlying source data. Rather than requiring customers to replace their existing workflows, Vallor integrates directly with their technology stack and helps teams automate contract review, negotiation, renewals, compliance, and value recovery. Our client is an early-stage company with an 11-person team and a highly AI-native engineering culture. As the company expands its enterprise customer base, it is looking for a senior engineer who can combine excellent product engineering with ownership, customer empathy, and strong technical judgment.
The World Leader In Serving Science
Role Description At PPD, Thermo Fisher’s clinical research group (CRG), we’re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected. We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively. Reporting to the VP, Head of Analytics and AI, the Senior Director, AI Platform Architecture is a senior leadership role within CRG Digital responsible for defining, building, and scaling the foundational AI platform that enables the rapid development, deployment, and operation of AI-enabled products and solutions across CRG. This leader owns the end-to-end AI platform strategy, architecture, and delivery model—ensuring that AI capabilities are scalable, reusable, secure, and production-ready. Operating at the intersection of Applied AI (AAI), Data Platforms, and Digital Engineering, this role serves as the backbone of CRG’s AI ecosystem—providing the tools, infrastructure, standards, and services required to accelerate AI innovation while maintaining governance, compliance, and operational excellence. The Director will enable both centralized and federated AI execution, empowering product and engineering teams to build AI solutions efficiently and consistently. Key Responsibilities - AI Platform Strategy & Ownership - Define and execute the AI platform strategy and roadmap, aligned to CRG Digital and AI priorities. - Establish the AI platform as a shared capability layer supporting all AI-enabled products and workflows. - Ensure alignment with enterprise architecture, data platform (MDP), and security strategies. - Drive a platform-first approach to AI development, enabling reuse and scalability across domains. - Platform Architecture & Engineering - Lead the design and development of the AI platform architecture, including: - Model development, training, and deployment frameworks. - MLOps and LLMOps pipelines. - Model serving, monitoring, and lifecycle management. - Integration with data platforms (e.g., Snowflake, Databricks). - Ensure platform supports GenAI, agentic workflows, and traditional ML use cases. - Establish standards for performance, scalability, reliability, and cost efficiency. - Reusable AI Capabilities & Tooling - Build and scale reusable AI components, including: - Model libraries and templates. - Prompt frameworks and orchestration tools. - Workflow automation and agent frameworks. - Enable rapid development through self-service tools and developer enablement. - Reduce duplication and accelerate time-to-market through standardization and reuse. - MLOps, Governance & Responsible AI Enablement - Establish and operationalize AI lifecycle management practices, including: - Model versioning, validation, deployment, and monitoring. - Performance tracking and drift detection. - Partner with AI Risk/Governance teams to embed compliance, security, and responsible AI principles into the platform. - Ensure auditability, traceability, and adherence to regulatory and enterprise standards. - Federated AI Enablement - Provides self-service platform capabilities to AI Engineering; ensures adoption through ease-of-use and standardization. - Enable a federated AI model, allowing domain/product teams to build AI capabilities while leveraging centralized platform standards. - Provide tooling, frameworks, and guardrails to ensure consistency and quality across distributed teams. - Act as a central enablement layer supporting both AAI and product-aligned engineering teams. - Cross-Functional Integration - Partner closely with AAI (Applied AI) for solution design and AI architecture, Data Platforms for data ingestion, quality, and readiness, and Digital Engineering for product integration and delivery. - Ensure seamless integration of platform capabilities into AI products and workflows. - Partner & Ecosystem Management - Define and manage relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers). - Evaluate and integrate emerging AI technologies and tools into the platform ecosystem. - Optimize the balance between build vs. buy vs. partner decisions. - Team Leadership & Capability Building - Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects. - Define skills, roles, and career paths for AI platform talent. - Drive capability building in AI engineering, platform operations, and emerging AI technologies. - Foster a culture of innovation, reliability, and continuous improvement. Qualifications - Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field). - 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles. - Proven track record of building and scaling AI/ML platforms or data platforms in enterprise environments. - Strong understanding of AI/ML and GenAI technologies, MLOps/LLMOps practices, and Cloud platforms and modern data architectures. - Experience operating in complex, matrixed organizations with cross-functional stakeholders. - Experience in regulated environments (healthcare/life sciences) preferred. Requirements - Deep technical and strategic understanding of AI platform architecture and operations. - Strong systems thinking with ability to balance innovation, scalability, and governance. - Ability to translate platform capabilities into business and product impact. - Strong leadership and team-building capabilities. - Excellent stakeholder management and ability to influence across Product, Data, AI, and Engineering teams. - Ability to operate in a fast-paced, evolving technology landscape. - Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner. - Able to work upright and stationary for typical working hours. - Ability to use and learn standard office equipment and technology with proficiency. - Able to perform successfully under pressure while prioritizing and handling multiple projects or activities. - May require as-needed travel (0-20%). - Band 9 level role. - Location: Remote US (east coast preference). Relocation assistance is NOT provided. - Must be legally authorized to work in the United States without sponsorship. - Must be able to pass a comprehensive background check, which includes a drug screening. Benefits - The salary range estimated for this position based in North Carolina is $167,500.00–$278,000.00. - This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. - We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: - A choice of national medical and dental plans, and a national vision plan, including health incentive programs. - Employee assistance and family support programs, including commuter benefits and tuition reimbursement. - At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy. - Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan. - Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount.
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media.
Role Description In this role, you will work at the intersection of engineering, law, and client impact — partnering with lawyers, AI engineers, and solution architects to discover, design, and deploy bespoke legal AI solutions. This is a customer-facing role that is ideal for individuals who have experience practicing law as well as building AI software solutions. Your work will help translate complex legal workflows into trusted, production-ready AI systems that support law firms in high-stakes moments. In this opportunity as a Senior Legal AI Engineer, you will: - Participate in high-value client engagements, guiding technical discovery, scoping legal use cases, and building credibility with legal and technical stakeholders. - Translate complex legal workflows, business pain points, and client goals into intelligent solution designs, technical specifications, and implementation plans. - Design and implement AI-powered solutions for legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis. - Partner with our forward deployed engineers to build and test RAG pipelines, custom AI agents, and multi-step workflows that leverage CoCounsel, Westlaw, Practical Law, and related enterprise systems. - Lead LLM evaluation efforts for legal use cases, including benchmarking output quality, assessing hallucination risk, testing citation quality, and validating fitness for high-stakes legal work. - Ensure deployed solutions meet ethical AI, data protection, and enterprise security standards while maintaining the trust legal professionals expect. - Contribute reusable solution assets and evaluate emerging AI techniques to improve quality and delivery across the team. Qualifications - JD, formal legal training, or equivalent depth of experience working within a legal practice environment. - Fluency in legal terminology and demonstrated experience working directly with lawyers, legal teams, or legal operations stakeholders. - Software engineering experience, including experience focused on AI/ML or LLM-powered applications. - Proficiency in Python. - Strong understanding of machine learning concepts, LLM evaluation methodologies, prompt engineering, and AI system design for domain-specific workflows. - Excellent communication skills and comfort working independently in ambiguous, client-facing settings with both legal and technical stakeholders. Benefits - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year. - Career Development and Growth: Culture of continuous learning and skill development with tools and knowledge to grow, lead, and thrive in an AI-enabled future. - Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, and resources for mental, physical, and financial wellbeing. - Culture: Award-winning reputation for inclusion and belonging, flexibility, work-life balance, and values such as Obsess over our Customers and Stronger Together. - Social Impact: Two paid volunteer days off annually and opportunities for pro-bono consulting projects and ESG initiatives. - Making a Real-World Impact: Helping customers pursue justice, truth, and transparency. Company Description Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
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Azure, Cloud, Python
