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• Deliver phase-one AI capabilities in our existing Amazon Connect environment, focusing on AI-first call handling, intelligent routing, and autonomous resolution of common login, account, and password-reset queries. • Design AI-first workflows for voice and email that prioritize autonomous resolution, allowing the system to intelligently decide when to handle a request end-to-end and when to route to an agent. • Leverage our existing call recordings and transcripts to extract real interaction patterns and customer language to ground the AI in actual member needs. • Build elegant handoff patterns that preserve a member's interaction history, intent, and attempted actions so they never have to repeat themselves. • Write clean, production-ready Python backend code and AWS Lambda integrations to handle secure account lookups, validation, and CRM updates. • Integrate Amazon Connect workflows with HubSpot and other internal systems to equip the AI agent with real-time customer context. • Establish a reusable metadata and session strategy to enrich ongoing and future interactions with purchase history and communication logs. • Tune RAG (Retrieval-Augmented Generation) patterns and Bedrock Knowledge Bases to keep AI responses grounded in approved policies and procedures. • Implement practical guardrails that keep AI responses focused on approved topics and apply secure verification steps for sensitive workflows. • Deploy and manage AWS resources using CloudFormation, CDK, or Terraform, ensuring version-controlled deployments of Connect flow JSONs. • Author clean, clear architecture runbooks, deployment procedures, and prompt configurations to ensure the wider team can easily operate your work. • Lay the technical foundations for future authenticated transactions like billing updates, self-service cancellations, and payment processing.
Data Science, Digital Transformation and eCommerce Strategy from experienced eCommerce and AI/ML experts
Role Description We are looking for an exceptional AI Architect to design, build, and optimize AI-driven applications on the Azure platform. This role emphasizes strong engineering expertise, creative problem-solving, and the ability to work with cutting-edge technologies to deliver high-impact solutions. The ideal candidate thrives on solving complex challenges, is passionate about engineering excellence, and has a knack for integrating AI into scalable, real-world applications. A background in data science or formal engineering is a strong advantage, given the scientific nature of the work. Key Responsibilities - Architect & Build: Design and implement AI applications leveraging Azure services (AKS, Azure Container Apps, Blob Storage, Document Intelligence, AI Studio/Foundry, VNETs). - Full-Stack Development: Develop systems using C#, Python, React, and modern frameworks like Entity Framework Core, LangChain, Semantic Kernel, and FastAPI. - Scalable & Secure Solutions: Create applications that are resilient, secure, and optimized for high performance. - Collaboration: Work closely with cross-functional teams, including data scientists and engineers, to turn abstract ideas into functional solutions. - Cloud-Native Focus: Lead the deployment and optimization of applications in Azure environments with strong consideration for cost efficiency and maintainability. - Innovate & Optimize: Explore new tools, frameworks, and methodologies to stay at the forefront of AI and software engineering. Qualifications - Proven expertise in software engineering with experience in C#, Python, and React (TypeScript). - Hands-on experience with cloud platforms, particularly Azure, including services like AKS, Networking, and AI Studio/Foundry. - Familiarity with AI frameworks like LangChain, Semantic Kernel, and other AI libraries or tools, as well as techniques such as RAG, Agentic patterns, and workflow orchestration. - Strong grasp of modern development practices, such as containerization, CI/CD, and API design. - Demonstrated ability to design and build secure, scalable, and maintainable systems. Preferred Skills - Background in data science or formal training in engineering disciplines. - Experience with frameworks like Entity Framework Core, Material UI, and FastAPI. - Understanding of AI modeling workflows and integration of document intelligence or related tools. Core Qualities - Problem-Solving Excellence: A creative and analytical approach to tackling technical challenges. - Ownership & Accountability: Ability to take full responsibility for the design, implementation, and success of projects. - Adaptability: Comfortable learning and implementing new technologies in a fast-evolving field. - Team Collaboration: Strong communication skills and a mindset that thrives in a team-driven environment. Company Description Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization. Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
Based in Austin, Texas, Osano is a software company that helps organizations maintain compliance with laws in 40 countries, doing so through its easy-to-use data privacy platform.
Role Description We’re looking for a Senior AI Engineer to join our Engineering team. This person will play a pivotal role in architecting and delivering privacy-first AI systems that power the next generation of Osano’s product capabilities. This role goes beyond wrapping APIs or building chat interfaces. You will: - Design and deploy autonomous AI agents - Develop strict-source-following RAG systems - Implement evaluation frameworks that ensure reliability, compliance, and production-grade performance This position is ideal for someone who is highly technical, thrives in ambiguity, takes ownership of 0→1 initiatives, and believes responsible AI development is non-negotiable. Responsibilities - AI System Architecture - Architect and deploy autonomous AI agents and multi-agent workflows - Design strict-source-following Retrieval-Augmented Generation (RAG) systems that minimize hallucination and enforce citation integrity - Implement guardrails, structured outputs, and validation layers - Production Engineering - Build scalable backend services using FastAPI - Orchestrate agentic workflows using LangGraph - Deploy and manage AI workloads within AWS or Azure - Optimize model performance, reliability, and cost - Evaluation & Continuous Improvement - Develop rigorous evaluation pipelines measuring: - Accuracy - Citation adherence - Latency - Reliability - Establish metric-driven iteration cycles - Continuously refine deployed systems based on measurable outcomes - Privacy-First Development - Embed privacy-by-design principles across the AI stack - Ensure compliance, data sovereignty, and secure handling practices - Collaborate cross-functionally to align AI capabilities with regulatory standards Qualifications - 5+ years of professional experience - Experience deploying and managing AI workloads in AWS or Azure - Deep technical understanding of LLM usage and orchestration beyond prompt engineering - Strong expertise in Python AI ecosystem, specifically: - FastAPI - LangGraph - Proven experience building: - Complex RAG systems - Autonomous AI agents - Experience building evaluation frameworks and iterating based on performance metrics Requirements - Experience with Knowledge Graphs to enhance RAG precision - Familiarity with Privacy-Enhancing Technologies (PETs) - Experience with data anonymization techniques - Background in compliance-heavy or regulated environments Benefits - Competitive-pay compensation and ownership interest/equity - Unlimited paid time off, plus a requirement to take at least two weeks off per year - We're a Best Place for Working Parents and offer paid parental leave for all new parents - Osano sponsors individual premiums on base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision insurance via Aetna - A fully and permanently remote company, so you can work from anywhere in the U.S. - Receive a MacBook and $600 to craft your home workspace - Annual company trip designed to foster connection, creativity, and fun - Mental health benefits with free memberships to mindfulness and talk therapy services
We're unlocking the power of data to help create a better tomorrow.
• Build scalable, production-grade AI systems that automate and enhance credit analytics and credit decisioning workflows • Develop and integrate AI solutions across the credit lifecycle, including origination, underwriting, limit setting, portfolio monitoring, and model validation • Develop evaluation and guardrail frameworks to ensure response accuracy, reduce hallucinations, and support human-in-the-loop review, including offline testing with ground-truth datasets • Develop and operate enterprise-grade AI services with a focus on scalability, security, reliability, performance, and latency optimization • Implement LLMOps and GenAI operational practices, including prompt management, model versioning, monitoring, CI/CD pipelines, and observability for cost, latency, and response quality • Partner with analytics, engineering, and product teams to embed AI into existing platforms and deliver new AI-driven capabilities across the organization • Evaluate and adopt modern orchestration frameworks and cloud-native AI tools (such as LangGraph and AWS-based services), while staying current with new AI system design patterns
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• Define and drive the vision, strategy, and roadmap for enterprise semantic data and data connectivity across business domains • Partner with business and IT leaders to identify high-value opportunities to connect and standardize data across systems • Position the semantic data product as a product, not just a technical asset, with clear customers, outcomes, adoption goals, and success metrics • Define and evolve the product’s value proposition, ensuring alignment to business priorities and measurable outcomes • Act as the general manager of the product, balancing user needs, technical feasibility, strategic priorities, operational constraints, and business impact • Define and manage data products aligned to key business domains, including clear ownership, users, and success metrics • Define target users and use cases for data products, ensuring alignment to specific decisions, workflows, and business outcomes • Partner closely with business customers to ensure data products support critical decisions, workflows, and operational outcomes • Drive adoption and usage of shared data assets across business units • Identify and prioritize use cases where connected data unlocks measurable business value (e.g., improved decisioning, automation, personalization) • Ensure solutions are aligned to real-world workflows and deliver tangible outcomes • Lead the development and evolution of enterprise ontologies, taxonomies, and data models that represent key business concepts and relationships • Establish a scalable semantic layer that enables reuse across analytics, AI, and operational use cases • Ensure alignment of definitions across domains to reduce fragmentation and duplication • Support both structured and unstructured data integration, enabling downstream AI and analytics applications • Ensure data is discoverable, understandable, and usable across teams through consistent definitions and relationships • Partner deeply with business domains to understand workflows, decision points, and data dependencies, acting as a product owner for how data supports those functions • Own the end-to-end product lifecycle from discovery and definition to delivery and iteration • Define product requirements, success metrics, and release plans • Continuously refine the semantic data product based on user feedback and evolving business needs • Define critical metrics to measure adoption, usability, and impact of the semantic data product • Supervise usage and continuously improve accessibility and value delivery • Evangelize the value of connected semantic data across the organization • Partner with data governance teams to establish standards, definitions, and data quality expectations • Promote consistency, reusability, and scalability of data assets across the enterprise
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• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput • Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms • Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible • Partner closely with stakeholders across functions to understand the real constraints • Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable • Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
Role Description We are seeking a passionate AI Tools Engineer to join the Site Reliability Engineering (SRE) Data Team. Applicants with SRE or equivalent experience are encouraged. - Build and deploy sophisticated AI-powered tools and products. - Support the operation and optimization of a critical production global Geforce Now service. - Transform extensive production data streams—such as signals, metrics, and logs—into actionable intelligence. - Automate root cause analysis for incidents and predict future service trends and patterns. - Build and implement robust AI/ML tools capable of analyzing production data to identify root causes for complex incidents and identify future operational trends. - Lead the development of brand-new LLM- and Agent-based systems to improve operational efficiency. - Establish and maintain excellent data management practices, including building pipelines to transform and handle large-scale data sources vital for model development. - Take charge of and enhance LLM-based pipelines while integrating a strong grasp of LLM progress into product development. - Act as a resident authority on AI Frameworks, recommending the best platforms, toolsets, and architectural approaches to ensure the long-term technical sustainability of the product. Qualifications - B.S. in Computer Science, Statistics, or Engineering (or equivalent experience), and 5+ years of experience. - Strong proficiency in Python; familiarity with Go or other systems languages is a plus. - Practical experience building, optimizing, and deploying AI tools. - Strong knowledge of the AI space and current developments, including understanding how LLM-based platforms are built, optimized, and which platforms work best. - Hands-on experience with container orchestration (Kubernetes) and cloud environments (AWS cloud). - Active engagement with developments in the AI field and the ability to distinguish meaningful advances from noise when making technical decisions. - Expertise in automation and handling large-scale data pipelines. - Experience applying monitoring and visualization tools, such as Grafana, to interact with data. - Excellent ability to handle data sources and pipelines to transform and manage data. Requirements - Understanding of SRE principles and experience managing production environments. - Strong in LLM improvement pipelines as well as a strong grasp of recent developments in LLM training. - Excellent knowledge of LLMs and AI Models who can reason and recommend an approach that sustains the team and product long term. - Understanding of SRE concepts and managing production environments as well as experience with Kubernetes, AWS, and other cloud technologies. - Proficiency in automation. Benefits - Competitive salary package. - Eligible for equity. - Comprehensive benefits.
Role Description Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. - AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. - End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration – Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. - Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices. - AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. Qualifications - Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field. - 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision. - Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. - Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). - Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. - The deadline to submit applications for this posting is June 21, 2026. Benefits - Pay range for this position is $147,200.00 - $210,300.00 per year. - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - Leadership and technical development academies to help build your skills and capabilities.
Role Description Gainwell Technologies seeks a forward-thinking Director of Artificial Intelligence (AI) to lead the design and implementation of AI solutions, with a focus on applying emerging technologies, such as Generative AI (GenAI), to enhance healthcare delivery and optimize operations. - Drive the development of AI-powered solutions, incorporating GenAI for applications like chatbots, documentation tools, and predictive analytics. - Collaborate with product and engineering teams to integrate AI and GenAI capabilities into Gainwell’s platforms, ensuring scalability and alignment with client needs. - Lead a team of AI engineers and data scientists, fostering a culture of innovation and continuous improvement. - Establish best practices for AI and GenAI deployment, ensuring compliance with regulatory and ethical standards. - Stay informed about advancements in AI, exploring opportunities to incorporate them into Gainwell’s offerings. Qualifications - Bachelor’s degree in Computer Science, AI, or a related field (Master’s preferred). - 10+ years of experience in AI/ML, with 3+ years working on GenAI or related technologies. - Experience integrating AI solutions in healthcare or government systems is a plus. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Video cameras must be used during all interviews, as well as during the initial week of orientation. Benefits - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - Variety of leadership and technical development academies to help build your skills and capabilities.
Role Description Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), Machine Learning, and Natural Language Processing, across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. - Delivery Lead for AI Delivery: Responsible for leading a cross-functional team including analytics, engineering, product, AI platform as well as business and IT stakeholders to drive AI solution delivery. - AI Model Development: Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. - End-to-End AI Solution Deployment: Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing: Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration: Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. - Performance Optimization: Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices. - AI Research & Innovation: Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security: Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement: Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. Qualifications - Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field. - 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision. - Experiences in developing, deploying, and finetuning LLMs (GPT, Gemini, Claude or similar) for real-world applications including prompt engineering, model optimization, and inference efficiency is a plus. - Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. - Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). - Strong problem-solving abilities with a plus for experience in healthcare AI, healthcare data (such as claims and medical records), and understanding of regulatory standards like HIPAA and CMS. - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. - The deadline to submit applications for this posting is June 2, 2026. - The pay range for this position is $184,000.00 - $262,900.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Benefits - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - A variety of leadership and technical development academies to help build your skills and capabilities.
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Python, AWS, DynamoDB, Microservices, Terraform, Cloud
