Role Description As the company expands into the United Kingdom, they are seeking a Forward Deployed AI Engineer to work directly with customers, deploy AI-powered solutions, improve operational processes, and drive measurable business outcomes. This is a highly strategic hire and one of the company's top priorities as they establish their UK presence. Key Responsibilities - Partner directly with customers from implementation through expansion - Analyze and map operational workflows - Identify opportunities for automation and process improvement - Redesign inefficient processes before automation - Configure and deploy AI agents into customer environments - Translate business requirements into agent logic and decision frameworks - Build integrations using APIs, webhooks, SQL, Python, JavaScript, and enterprise systems - Develop scripts, prototypes, and workflow automations - Troubleshoot deployments and optimize production performance - Lead customer workshops and working sessions - Build trusted relationships with technical and business stakeholders - Create reusable implementation assets, templates, and deployment frameworks - Collaborate closely with Product and Engineering teams to improve future deployments Qualifications - 5+ years of experience in customer-facing technical roles - Proven experience deploying AI or automation solutions into real customer environments - Background in; Forward Deployed Engineering, Solutions Engineering, Applied AI Engineering, Technical Consulting, Enterprise Automation Delivery - Hands-on experience with; LLMs, Agent frameworks, Prompt engineering, Retrieval systems, AI deployment workflows - Strong experience with; SQL, Python and/or JavaScript, APIs, JSON, Webhooks, Enterprise integrations - Willingness to travel to Europe occasionally Nice to Have - Experience at AI-native companies - Previous Forward Deployed Engineering or Solutions Engineering experience - ERP implementation or integration experience - Technical consulting experience focused on AI or automation - Additional European language skills - Experience building internal AI-powered operational tools Benefits - Competitive compensation package - Meaningful equity participation - Opportunity to help establish the company's UK presence - Direct customer and product impact - High-autonomy and high-ownership environment - Exposure to cutting-edge AI technologies - Fast-moving and entrepreneurial culture

Role Description AI Architect is a technical leader reporting to the Director, Enterprise App Engineering. This role defines and drives Guidewire's enterprise AI strategy — translating business objectives across GTM, Finance, HR, Legal, and Engineering into production-grade AI systems that deliver measurable impact. The architect owns end-to-end design across ingestion, orchestration, agent frameworks, security, compliance, and delivery. - Define and own Guidewire's enterprise AI architecture vision — establishing technical direction, design standards, and reference implementations across all BizTech AI initiatives. - Architect and lead delivery of production AI systems: multi-agent orchestration platforms, RAG and GraphRAG knowledge systems, LLM-powered workflows, and enterprise context graph initiatives spanning all Systems of Record. - Own the full-stack AI architecture — from AWS infrastructure and data pipelines (Kafka, Iceberg, dbt, pgvector) through LLM gateway design, agent orchestration (LangGraph or equivalent), and user interfaces. - Help define enterprise AI security and governance standards — covering IAM, ABAC policy enforcement, PII handling, prompt injection defence, hallucination detection, and audit trail design for SOX and GDPR compliance. - Lead complex, multi-team AI programs end to end — from stakeholder alignment and architectural design through delivery, adoption, and measured business outcomes across concurrent initiatives. - Help drive technology evaluation and build-vs-buy decisions across the AI tooling portfolio. - Partner with Data Governance, Security, Legal, and Compliance teams to embed AI responsibly across the organisation. - Mentor senior engineers and foster a culture of technical excellence, pragmatic innovation, and accountable delivery across the BizTech organization. Qualifications - Bachelor's Degree in Computer Science, Engineering, or equivalent work experience. - 12+ years in enterprise software architecture, with at least 2 years designing and delivering production AI/ML or LLM-based systems at scale. - Proven track record leading large, complex enterprise AI programs — multi-year, multi-team initiatives with clear, measurable business outcomes. - AWS expertise: Bedrock, EKS, Lambda, RDS, S3, Kinesis, IAM, VPC. AWS Solutions. - Full-stack AI fluency: event ingestion and streaming pipelines, vector and graph databases, LLM orchestration and agent frameworks, API design, and front-end delivery. - Experience with AI observability and evaluation — trace instrumentation, eval frameworks, and production monitoring (Datadog LLM Observability, LangSmith, or equivalent). - iPaaS and integration architecture experience — Workato, MuleSoft, or equivalent for enterprise SoR integration and event-driven automation. - 5+ years of technical leadership — mentoring senior engineers, driving architecture strategy, and managing cross-functional stakeholder relationships. - Excellent communication and executive presence — able to present complex AI architecture decisions clearly to both engineering teams and senior business leadership. - Demonstrated experience shipping Generative AI systems in production enterprise environments, with measurable impact on business outcomes. Requirements - The US base salary range for this full-time position is $132,000 - $198,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. - All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. - In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance. Benefits - Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. - Accommodation requests should be directed to Accommodations@guidewire.com. - If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. - The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. - Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

Role Description A fast-growing cloud-native professional services company is hiring Forward Deployed Engineers for a new AI-focused business unit built around enterprise LLM adoption. This is a startup-style team inside a larger, established consulting organization: small team, high autonomy, direct client ownership, and real delivery responsibility from day one. You’ll work directly with enterprise customers to take AI from idea to production. Engagements may focus on AI-assisted software development, agentic engineering workflows, RAG/LLM applications, or applied AI enablement for business teams. - Own client engagements end-to-end: discovery, scoping, architecture, delivery, enablement, and expansion. - Run stakeholder interviews, technical workshops, architecture reviews, and enablement sessions. - Build or guide production AI systems such as agents, RAG pipelines, AI-native apps, workflow automations, or AI-assisted SDLC tooling. - Translate ambiguous business problems into practical, deliverable technical solutions. - Work with both technical and non-technical stakeholders, from engineers and architects to VP/C-suite leaders. - Identify opportunities to expand accounts through strong delivery and proactive problem-solving. - Leave clients with durable capability: documented, maintainable systems, workflows, and enablement materials. Qualifications - 4–10 years of experience in client-facing technical delivery, consulting, systems integration, professional services, FDE, solutions engineering, or customer-facing software engineering. - Hands-on experience with LLM applications, AI agents, RAG pipelines, AI workflows, or AI-assisted development tools. - Comfortable with tools such as Claude, Claude Code, Cursor, Codex, AWS Bedrock, LangChain/LangSmith, Python, AWS, Kubernetes, Zapier, Power Automate, or similar. - Strong consulting instincts: able to run discovery, manage stakeholders, communicate clearly, and drive outcomes without heavy oversight. - Able to speak technically with engineers while also explaining business value to executives. - High tolerance for ambiguity and a bias toward action. Requirements - Two strong-fit profiles: - AI/Workflow Transformation FDE: Consulting, implementation, or enterprise SaaS delivery background with hands-on AI enablement experience. Strong fit for candidates who have helped business teams adopt AI tools, automate workflows, or transform knowledge-worker processes. - Technical / SDLC FDE: Software engineering background with client-facing delivery experience. Strong fit for candidates who have built production AI systems, agentic coding workflows, developer tooling, RAG apps, or engineering enablement programs. - Strong signals: - Prior consulting, professional services, systems integration, or implementation experience. - Experience leading workshops, enablement sessions, or technical discovery. - AWS/cloud consulting background. - Production AI/LLM project experience. - Account expansion or “sell-do” delivery experience. - Comfort working remotely with up to 50% travel depending on client needs.

Title:Sr. AI Engineer Consultant (Hybrid-In Office) Job Level: W2T Consultant Job Location: Hybrid, Charlotte, NC Travel Expectations: 10% Job Classification: Temporary (W2T) Join Centric Consulting - A Culture You'll Love Job Description: At Centric Consulting, we've cultivated a unique approach to business. Our business is built on three fundamental principles: Enjoy the people you work with, have fun, and do great work. These principles define our consulting model and have crafted one of the most vibrant cultures in the consulting industry - celebrating individuals, collaboration, and lifelong friendships. We are looking for an AI Engineer to lead the build of our clients next-generation platform. You will be instrumental in designing, building, stabilizing, and scaling enterprise-grade AI solutions using Microsoft's Azure AI ecosystem. As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our clients Copilot Studio agents, ensuring they are scalable, accurate, maintainable, and aligned with modern Azure AI best practices. This role is central to our mission of transforming media sales through prescriptive, actionable intelligence. In this role, you will: - Copilot Optimization: Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability. - Generative AI Modernization: Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches. - Advanced RAG Implementation: Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints. - Sophisticated AI Features: Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions. - End-to-End MLOps: Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security. - Architectural Leadership: Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff. - Operational Enablement: Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks. Who You Are: - Experience: 8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions. - AI Ecosystem: Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry (formerly Azure AI Studio). - Technical Proficiency: Expert-level Python for AI/ML development and automation; additional experience in C#, .NET, or Java is preferred. - AI Specialization: Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases. - MLOps & DevOps: Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads. - Problem Solving: Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets. - Soft Skills: Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements. Total Rewards: We proudly offer competitive compensation, a comprehensive and well-rounded benefits package for full-time employees that have been designed to nourish your well-being, such as health coverage, wellness programs, 401K company match, self-managed PTO, and other unique incentives that celebrate your accomplishments. - Remote and Hybrid Work - Time Off When You Need It - Benefits That Flex - Professional Development While benefits eligibility may vary for roles that are not full-time, we provide unique opportunities for growth, skill development, and more. Regardless of your role, you'll be part of a collaborative environment where every team member contributes to our shared success. Discover more about our benefits by exploring additional details here benefits. Who We Are: Founded in 1999 with a remote workforce, we combine the benefits of experience, flexibility, and cost efficiency to create tailored solutions centered on what's best for businesses. Now numbering more than 1,400 employees in the U.S. and India, we're committed to solving clients' toughest problems and delivering on our mission of providing unmatched experiences. Our purpose at Centric Consulting is to bring unmatched experiences to clients and employees. These aren't just words we use - it's how we became a company and who we are today. Providing an unmatched experience means we approach each other as human beings and lead with empathy and humility. It means we work diligently to ensure we are a place where everyone can create a sense of belonging and feel respected for who they are. What Makes Centric a Great Place to Work? We know that creating and sustaining an authentically welcoming culture requires that we all play a part in promoting diversity, equity, and inclusion, from our business practice to how we show up for employees and communities. This is how we bring our mission and core values to life, working together to provide the highest quality services to our clients while allowing our employees to reach their full potential. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process. #LI-Hybrid