Lead AI Engineer - NBA

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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 Hours: Typical business hours are Monday-Friday, 8 hours/day, 5 days/week- some flexibility might be possible, depending on business needs.

Very minimal travel might be required for training, meetings, and/or conferences

Interview Format

As part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments.

If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes.

Your on-demand assessment will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.

SSN Task via Workday

Should you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles.

Work at Home

Requirements

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be hi