Lead AI Engineer - NBA at Humana in Remote Nationwide

Job description

Become a part of our caring community The Lead AI Engineer owns the design and delivery of the NBA platform's agentic AI capabilities. This is a hands-on engineering role first - you are expected to be a significant individual contributor building production AI systems every sprint. You also lead a small team of engineers and contractors focused on bringing AI-powered workflows and intelligent analysis into the platform's user-facing experiences. This role is forward-looking: you are building the foundation for how AI augments and automates decision-making across the platform. What You'll Own Agentic AI delivery - design, build, and own AI agent workflows that surface intelligent analysis, recommendations, and automation across the NBA platform's user interfaces and internal tooling Hands-on development - actively write and ship production code alongside your team; this is not a supervisory role AI workflow design - architect multi-step agentic pipelines that integrate with the platform's data layer, decisioning outputs, and activation channels to deliver meaningful AI-driven experiences LLM integration - own the integration of large language models (Claude, GPT, or equivalents) into platform workflows, including prompt engineering, tool use, structured output handling, and context management User-facing AI experiences - partner with frontend and product teams to bring AI-powered analysis and recommendations into the Command and Control UI and other operator-facing surfaces Evaluation and reliability - build evaluation frameworks to measure AI output quality; ensure agentic workflows are reliable, auditable, and safe in a regulated healthcare environment Contractor management - manage AI engineering contractors within your pod; set expectations, review work, and hold the team to quality standards AI productivity tooling - model best practices for AI-assisted development (Claude, Copilot, etc.) across the broader engineering organization Use your skills to make an impact Required Qualifications 6+ years of software or ML engineering experience with at least 1-2 years focused on LLM integration, agentic AI, or AI product engineering Hands-on experience building production agentic systems - multi-step pipelines, tool orchestration, structured output handling, and multi-turn conversation management Experience with RAG patterns and vector search - you have built retrieval-augmented systems in production, not just read about them Strong Python engineering skills; comfortable building and shipping production-grade AI systems, not just prototypes Experience integrating LLM APIs (Anthropic, OpenAI, or equivalents) into real applications Proven ability to lead a small team or pod through delivery and manage contractor resources Strong judgment on when AI is the right tool and when it is not - especially in a regulated, member-facing context Clear communicator - you can explain an agentic architecture to an engineer and a product owner without losing either of them Deep fluency with AI productivity tools (Claude, Copilot, or similar) - this is table stakes for this role Preferred Qualifications Experience orchestrating multi-agent systems - coordinating multiple AI agents across complex, long-running workflows Experience integrating agentic AI into bespoke enterprise software and connecting to external systems like Salesforce, Adobe Experience Platform, claims platforms, or similar Experience building AI-powered analytics or insight surfaces in a business intelligence or operational UI context Background in healthcare, insurance, or other regulated industries where AI outputs carry compliance risk Experience with AI evaluation frameworks and techniques for measuring output quality and detecting drift Familiarity with the Anthropic Claude API and the Claude Agent SDK. Work Style: Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or meetings may be required. Work Hours : Typical business hours are Mo