GenAI Engineer IV – Generative AI
Company: FM
Location: Johnston
Posted on: January 19, 2026
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Job Description:
Established nearly two centuries ago, FM is a leading mutual
insurance company whose capital, scientific research capability and
engineering expertise are solely dedicated to property risk
management and the resilience of its policyholder-owners. These
owners, who share the belief that the majority of property loss is
preventable, represent many of the world’s largest organizations,
including one of every four Fortune 500 companies. They work with
FM to better understand the hazards that can impact their business
continuity to make cost-effective risk management decisions,
combining property loss prevention with insurance protection. GenAI
Engineer IV – Lead Innovation with Generative AI Join our
Innovation Analytics & AI team as a GenAI Engineer IV, where you’ll
shape the future of AI solutions for enterprise-scale impact. This
expert-level role drives strategy, architecture, and implementation
of cutting-edge Generative AI systems using LLMs (OpenAI, Gemini,
Llama2, GPT-4) and multi-modal models on Azure and cloud platforms.
You’ll design cloud-native architectures, build RAG workflows, and
integrate structured/unstructured data to deliver secure, scalable
AI solutions. Using tools like Promptflow, LangChain, Azure AI
Search, and Vector DBs, you’ll create agentic AI frameworks,
optimize performance, and ensure ethical compliance. You will
collaborate and guide Solution Architects to align AI strategies
with business goals, ensuring performance, security, and
scalability while integrating structured and unstructured data into
analytics platforms. As a technical leader, you’ll mentor
engineers, influence enterprise AI strategy, and foster a culture
of innovation and continuous learning. This role offers the chance
to drive impactful AI initiatives, collaborate across teams, and
stay ahead of industry trends. What You’ll Do - Lead the strategy,
design, architecture, and implementation of scalable Generative AI
solutions using LLMs (e.g., OpenAI, Gemini, Llama2, GPT-4),
multi-modal models, and open-source frameworks within Azure
Microsoft Infrastructure. - Develop robust data integration
pipelines and RAG workflows using tools like Promptflow, Azure AI
Search, Semantic Search, Hybrid Search, Document Intelligence,
Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub,
Agents, Assistants, LangChain, Hugging Face, Llama Index, and
Semantic Kernel. - Design and implement robust test automation
strategies within CI/CD pipelines, define observability metrics
using Azure Application Insights and Dynatrace, and support
production deployments with detailed documentation and risk
mitigation. - Collaborate with Solution Architects to ensure
successful delivery of enterprise initiatives such as application
security, API development, architecture, and test automation. - Act
as a subject matter expert in tools and technologies, lead internal
learning forums, set strategic objectives, and drive the adoption
of innovative methods. What We’re Looking For Education - Minimum
Education Required to Perform Essential Job Functions: 4-Year /
bachelor’s degree, preferably in Computer Science, Data Science,
Artificial Intelligence, or equivalent experience - 8 years in AI
engineering with deep expertise in GenAI and cloud architectures. -
Advanced skills in Python, .NET, C#, and tools like LangChain,
Hugging Face. - Strong knowledge of LLMs, multi-modal models, and
CI/CD automation. - Proven leadership in AI strategy, mentoring,
and enterprise-scale delivery. - Expert-level proficiency in
Python, .NET, and C# programming for AI applications - Advanced
expertise with GenAI tools (Promptflow, Azure AI Search, Semantic
Search, Hybrid Search, Document Intelligence, Skillsets, Generative
RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants,
LangChain, Hugging Face, Llama Index, Semantic Kernel) - Deep
knowledge of leading LLMs (OpenAI, Gemini, Llama2, GPT-4) and
multi-modal models - Experience with cloud-native architectures,
Kubernetes, Terraform, and API development - Strong understanding
of CI/CD pipelines, automated testing, and test automation
strategies - Expertise in ethical AI practices (bias detection,
hallucination analysis, performance benchmarking) - Exceptional
leadership, mentorship, and strategic communication skills -
Strategic mindset for driving innovation, aligning AI strategies
with business goals, and influencing enterprise-wide initiatives
Why Join Us? - Work on state-of-the-art AI technologies shaping the
future of business. - Influence enterprise-wide AI strategy and
innovation. - Collaborate with top talent in a dynamic,
growth-oriented environment. Compensation, Grade, and Job Title
will be determined based on qualifications, experience, and
technical skillset. The position is eligible to participate in FM's
comprehensive Total Rewards program that includes an incentive
plan, generous health and well-being programs, a 401(k) and pension
plan, career development opportunities, tuition reimbursement,
flexible work, paid time off allowances and much more. FM is an
Equal Opportunity Employer and is committed to attracting,
developing, and retaining a diverse workforce. LI-TA1
Keywords: FM, New Britain , GenAI Engineer IV – Generative AI, IT / Software / Systems , Johnston, Connecticut