Job Description
This insurance company is looking for an AI Lead Engineer to join a newly formed centralized AI team supporting multiple business units. This individual will partner directly with broker, underwriting, and business leadership teams to identify high-value AI opportunities, gather requirements, and guide projects from concept through production deployment. The AI Lead Engineer will provide technical leadership across AI initiatives, oversee project execution, mentor engineers, and ensure solutions align with business objectives, security standards, and scalability requirements.
This role will be responsible for architecting and delivering LLM-powered applications, RAG solutions, and AI agents while helping establish reusable frameworks, development standards, and AI best practices across the organization. Additionally, the Lead Engineer will collaborate closely with senior leadership, provide regular project status updates, communicate risks and recommendations, and drive successful delivery of AI project milestones across multiple business units.
An excellent candidate has a strong track record of delivering production‑grade AI solutions, leading engineering teams, managing enterprise AI projects, and communicating effectively with both technical and executive stakeholders. Additional value comes from experience with LangChain, Claude, AI agents, regulated environments, and building scalable AI platforms that can be leveraged across an enterprise.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
- 8+ years of software engineering experience with 3–5+ years in AI/ML development
- Proven experience delivering multiple AI solutions into production environments
- Strong programming experience in Python plus React, Node.js, or .NET
- Experience with LLM integrations (OpenAI, Azure OpenAI, Anthropic/Claude)
- Experience with Claude Code or similar AI development tooling
- Hands‑on experience building RAG pipelines and utilizing frameworks such as LangChain
- Experience designing enterprise AI architectures and making deployment decisions around cloud hosting, scalability, latency, security, and cost optimization
- Strong understanding of MLOps practices including model monitoring, versioning, governance, and performance tuning
- Experience leading AI engineering teams, mentoring developers, and driving technical direction
- Proven ability to gather requirements from business stakeholders and translate them into scalable AI solutions
- Experience managing project deliverables, timelines, technical roadmaps, and development priorities
- Strong communication skills with experience presenting updates and recommendations to senior leadership and executives Familiarity with AI sandbox environments for rapid prototyping and experimentation
- Experience building AI agents and integrating solutions via APIs and webhooks
- Exposure to enterprise platforms such as Salesforce, Applied Epic, or Duck Creek
- Background in insurance or other regulated industries (claims, underwriting, HIPAA, governance‑heavy environments)
- Experience establishing AI engineering standards, reusable frameworks, and best practices across multiple teams
- Experience leading cross‑functional AI initiatives supporting multiple business units