Lead Decision Intelligence Engineer – AI

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $129.3k - $177.8k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Humana

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

Humana is a healthcare company dedicated to making a positive impact on the health of individuals, communities, and the healthcare system as a whole. With a focus on putting health first, Humana serves a diverse range of populations, including seniors and the military, providing Medicare Advantage HMO, PPO, and PFFS plans. Humana is committed to fostering a culture of belonging and mutual respect, offering competitive and flexible benefits to ensure the financial security of its employees and their families. The company prides itself on creating an inclusive workplace where everyone has the opportunity to succeed.

📋 Description

• Own application of Decision Intelligence and agentic AI across the NBA platform • Analyze and formalize business decisions driving member engagement • Translate objectives, constraints, policies, and data into structured decision models • Determine where rules, predictive models, reinforcement learning, optimization, or agentic systems provide value • Design and build production-grade decision intelligence capabilities • Design and implement production agent workflows using LangGraph and LangChain • Build AI-powered Action Library capabilities for creating, refining, validating, governing, and optimizing member actions • Integrate Azure OpenAI and enterprise models through Humana's AI Gateway • Design retrieval-augmented architectures using vector search, semantic retrieval, and knowledge grounding • Operationalize reinforcement learning and decision optimization models within NBA workflows • Build evaluation frameworks for recommendation quality, agent effectiveness, adoption, business outcomes, and operational performance • Implement AI governance, safety guardrails, observability, traceability, policy controls, human review, and auditability • Lead and mentor AI engineers and drive the Decision Intelligence workstream • Architect and operate highly available, low-latency, horizontally scalable microservices • Design versioned APIs, database schemas, catalogs, lifecycle management, rule bindings, and metadata relationships • Integrate rules engines such as Drools, IBM ODM, DMN services, or OPA/Rego • Ensure deterministic, versioned, stateless rule execution without unintended side effects • Use AI tools to generate and refactor schemas and service logic, author and validate rules, detect conflicts, produce tests, and explore edge cases • Develop automated tests for migrations, schemas, API contracts, rules, precedence, and edge cases • Ensure observability, structured logging, metrics, alerting, error handling, fallback strategies, and incident management • Support audit and compliance through traceable, reproducible system behavior • Collaborate with platform, data, machine learning, product, business, decision science, and engineering teams • Participate in architecture and design reviews and mentor junior engineers

🎯 Requirements

• Bachelor's degree in computer science or related field • 6+ years of software engineering, machine learning engineering, AI engineering, or decision intelligence experience, including at least 1–2 years in a technical leadership capacity • 8 or more years of progressive IT experience as a senior developer in large IT projects • 2 or more years of project leadership experience • Strong Python engineering experience building and operating production AI systems • Hands-on experience with LangGraph, LangChain, AutoGen, CrewAI, or similar orchestration frameworks • Experience integrating Azure OpenAI, Azure AI Foundry, Vertex AI, Anthropic, OpenAI, or comparable enterprise AI platforms • Strong understanding of Decision Intelligence concepts, including decision modeling, optimization, decision automation, objectives, constraints, and outcome measurement • Experience with tool calling, structured outputs, retrieval-augmented generation, memory management, and workflow orchestration • Experience building AI evaluation frameworks, automated evaluation, human review, performance measurement, and experimentation • Ability to map business processes into formal decision frameworks • Demonstrated ability to lead a small engineering team while remaining hands-on • Strong communication skills for explaining complex AI and decision architectures to senior leadership • Must be passionate about contributing to an organization focused on continuously improving consumer experiences • Minimum home internet speed of 25 Mbps download and 10 Mbps upload • Dedicated workspace without ongoing interruptions • Ability to work typical Monday–Friday business hours, 8 hours/day, 5 days/week • Occasional travel to Humana offices may be required • Ability to protect member PHI/HIPAA information

🏖️ Benefits

• Bonus incentive plan • Medical benefits • Dental benefits • Vision benefits • 401(k) retirement savings plan • Paid time off • Company holidays • Personal holidays • Paid parental leave • Paid caregiver leave • Short-term disability • Long-term disability • Life insurance • Remote work • Flexible work hours may be possible • Occasional travel for training or meetings • Dedicated home workspace requirements to protect PHI/HIPAA information