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Lead AI Engineer

Humana Louisville, KY

Louisville, KY

Today

$171k - $235k/yr Full time Manager Artificial Intelligence Cloud

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Job Description

Lead AI Applied Engineer role at Humana providing technical leadership for production AI systems using LLMs in a regulated healthcare environment.

Responsibilities

Lead architecture for production AI systems where LLMs are foundational to the product experience
Own key technical decisions across model selection, system boundaries, platform architecture, and build-versus-buy strategy
Own highest-risk and highest-impact challenges in reliability, explainability, and correctness
Set engineering standards that influence team practices for building and shipping AI products
Work on systems operating at scale, processing millions of documents and supporting healthcare decisions for a large member population
Stay hands-on across coding, design, and production operations while partnering with skilled engineers
Simplify complex technical solutions and drive pragmatic decisions that maximize business value
Own end-to-end architecture and evolution of full-stack AI applications including:
- LLM pipelines
- Retrieval systems
- Agentic workflows
- Human-in-the-loop processes
- Supporting platform services
Design and implement scalable AI solutions prioritizing reliability, accuracy, auditability, performance, and cost efficiency
Build and maintain the most complex, high-risk system components where architecture and implementation drive major business impact
Define and enforce engineering standards for AI systems, including:
- Evaluation methodologies
- Structured outputs
- Observability
- Testing
- Fallback strategies
- Latency optimization
- Cost controls
Lead technical design reviews and guide architecture decisions for platform capabilities, AI systems, integrations, infrastructure, and software patterns
Evaluate and recommend technologies, frameworks, AI models, and third-party solutions based on technical and business requirements
Translate ambiguous business objectives into technical strategies, roadmaps, and executable workstreams
Provide technical leadership across multiple projects, ensuring alignment with architectural standards and long-term platform objectives
Mentor and coach engineers through design reviews, code reviews, pair programming, and technical guidance
Partner with product, engineering, clinical, and operational stakeholders to deliver solutions aligned to business and regulatory needs
Own operational excellence, including deployment strategies, monitoring, incident management, and production reliability
Ensure privacy, security, governance, and audit compliance within a regulated healthcare environment
Drive alignment across teams and stakeholders for delivery of strategic initiatives

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
8+ years of software engineering experience, including designing and operating production systems at scale
Proven track record delivering AI-enabled products or platforms into production environments
Deep hands-on experience integrating and operating LLMs in business-critical workflows
Experience designing systems using structured outputs, tool calling, retrieval-augmented generation (RAG), agentic workflows, orchestration frameworks, and evaluation pipelines
Experience making architecture decisions for systems where AI is a core component of the product experience
Demonstrated success leading technical initiatives across engineering teams, including architecture reviews, technical planning, mentoring, and delivery execution
Strong programming skills in Python and/or TypeScript/JavaScript
Experience designing and operating distributed systems, APIs, data platforms, and cloud-native applications
Strong understanding of reliability engineering, system performance, scalability, and operational excellence
Ability to balance tradeoffs across quality, latency, cost, security, and maintainability

Technology stack

TypeScript
React / Next.js
Python
PostgreSQL
Gemini on Vertex AI
OCR and Document AI technologies
Docker
Kubernetes
Modern CI/CD platforms and tooling

Benefits

Medical, dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance
Bonus incentive plan (eligible)

Preferred qualifications

Experience taking AI products from concept through production deployment and long-term operational ownership
Experience developing AI systems where LLMs support critical decision-support or operational workflows
Expertise in evaluation frameworks, benchmark datasets, regression testing, model quality measurement, and human review processes
Experience with agentic systems, Model Context Protocol (MCP), workflow orchestration, multi-step reasoning frameworks, and AI observability platforms
Experience with React, Next.js, modern frontend technologies, and full-stack application development
Experience deploying and managing workloads using Kubernetes, Docker, modern CI/CD platforms, and cloud-native technologies
Experience with Google Cloud Platform, Azure, AWS, Vertex AI, or comparable AI and cloud infrastructure platforms
Experience working in highly regulated industries such as healthcare, financial services, or government
Knowledge of privacy, compliance, security, and governance frameworks impacting AI and data-driven applications
Experience implementing AI-assisted development practices that improve engineering productivity and delivery speed
Excellent communication, collaboration, problem-solving, and leadership skills

Additional information

Location: Louisville, KY (hybrid)
Schedule: hybrid work schedule, requiring employees to work three days per week in the office and the remaining days remotely
Operating environment: highly regulated
Sensitive and protected data handling is a core part of the engineering culture
Work requires building secure, compliant, auditable, and trustworthy AI systems
Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets
Scheduled weekly hours: 40

Compensation: USD 170,800 - 234,800 per year

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