GenAI Engineer IV – Generative AI

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.

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 Prompt flow, Lang Chain, 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.

• 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 Prompt flow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, Lang Chain, 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.

• 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 Lang Chain, 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 (Prompt flow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, Lang Chain, 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…