Lead Decision Intelligence – AI

🕒 August 20

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $129.3k - $177.8k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 34%

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.

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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

• Analyze and formally model business decision processes governing member engagement • Break complex business processes into decision graphs, decision services, decision hierarchies, and optimization opportunities • Determine where rules, predictive models, reinforcement learning, optimization techniques, or agentic systems create business value • Design and implement production agent workflows using LangGraph and LangChain • Build AI-powered capabilities in the Action Library for creating, refining, validating, governing, and optimizing member actions • Integrate Azure OpenAI and other enterprise models through Humana's AI Gateway • Implement prompt engineering, structured outputs, retrieval patterns, tool calling, function execution, and workflow orchestration • Design retrieval-augmented architectures using vector search, semantic retrieval, knowledge grounding, and enterprise content sources • Partner with data science teams to operationalize reinforcement learning and decision optimization models • Build evaluation frameworks for recommendation quality, decision quality, agent effectiveness, user adoption, business outcomes, and operational performance • Implement AI guardrails, observability, traceability, policy controls, human review mechanisms, and auditability for healthcare • Lead and mentor AI engineers, establish engineering standards, conduct design reviews, and drive execution • Collaborate with product, business, decision science, data science, platform, machine learning, and engineering teams • Architect, implement, and operate highly available, low-latency, horizontally scalable, backward-compatible microservices • Deliver services for action and variant metadata, context-aware policy and eligibility evaluation, and versioned read-optimized APIs • Design, deploy, and maintain resilient database schemas for action catalogs, versioning, lifecycle management, rule bindings, and metadata relationships • Select and operate relational, document, or key-value data stores based on workload and scalability requirements • Implement schema migration, indexing, query optimization, data integrity, consistency, reliability, auditability, and traceability • Integrate enterprise rules engines for eligibility, constraints, policies, suppression, cooldowns, exclusions, and allow/deny logic • Work with Drools, IBM ODM, DMN-based services, OPA/Rego, or similar technologies • Ensure rule execution is deterministic, versioned, stateless, and free from unintended side effects • Use AI-powered tools to generate and refactor schemas and service logic, streamline rule authoring, detect conflicting or redundant rules, and produce test cases • Develop automated tests for database migrations, schema changes, service contracts, API compatibility, rules behavior, precedence, and edge cases • Ensure observability and resilience through structured logging, metrics, alerting, error handling, fallback strategies, and incident management • Support audit and compliance requirements through traceable and reproducible system behavior • Participate in architecture and design reviews, mentor junior engineers, and contribute to technical standards

🎯 Requirements

• Bachelor's degree in computer science or related field • 6+ years of software engineering, machine learning engineering, AI engineering, or decision intelligence experience • At least 1–2 years in a technical leadership capacity • Strong Python engineering experience building and operating production AI systems • Hands-on experience building agentic applications using 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 implementing LLM application patterns including tool calling, structured outputs, retrieval-augmented generation (RAG), memory management, and workflow orchestration • Experience building evaluation frameworks for AI systems, including automated evaluation, human review, performance measurement, and experimentation • Ability to map business processes into formal decision frameworks and communicate those models to both technical and non-technical stakeholders • Demonstrated ability to lead a small engineering team while remaining a hands-on contributor • Strong communication skills with the ability to explain complex AI and decision architectures to senior leadership • Preferred: Experience with Decision Intelligence methodologies, decision modeling notation, decision requirements analysis, influence diagrams, decision graphs, or business decision management frameworks • Preferred: Experience operationalizing reinforcement learning, contextual bandits, recommendation systems, or next-best-action optimization platforms • Preferred: Experience with Databricks, MLflow, Feature Store, Mosaic AI, or enterprise machine learning platforms • Preferred: Experience with Azure AI Search, vector databases, semantic retrieval systems, and enterprise knowledge architectures • Preferred: Experience with observability platforms such as LangSmith, OpenTelemetry, PromptFlow, Azure Monitor, or equivalent AI monitoring solutions • Preferred: Experience integrating AI capabilities into enterprise software platforms and workflow-driven applications • Preferred: Familiarity with Adobe Experience Platform, Salesforce, CRM platforms, healthcare engagement platforms, or marketing technology ecosystems • Preferred: Background in healthcare, insurance, or another highly regulated industry with auditability, explainability, and compliance requirements • Preferred: Master's Degree • Ability to work typical business hours Monday–Friday, 8 hours/day, 5 days/week, with some flexibility depending on business needs • Minimum home internet speed of 25 Mbps download and 10 Mbps upload • Ability to work from a dedicated space without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefits

• Bonus incentive plan based on company and/or individual performance • 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 • Flexible work arrangements • Remote work • Dedicated-space home working arrangement • Occasional travel for training or meetings • On-demand candidate assessment and interview process