JobHabor

Lead Full Stack Engineer - AI Enablement

Humana

Location
United States
Workplace
Remote
Employment
Full Time
Salary
USD 129,000–178,000/yr
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Posted 22d ago

Lead Full Stack Engineer - AI Enablement @ Humana | Jobright.ai

Lead Full Stack Engineer - AI Enablement jobs in United States

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Humana · 1 week ago

Lead Full Stack Engineer - AI Enablement

United States

Full-time

Remote

Lead/Staff

$129K/yr - $178K/yr

8+ years exp

Humana is a healthcare company seeking a Lead Full Stack Engineer - AI Enablement to build and scale AI-powered experiences, platforms, and intelligent workflows. The role provides hands-on technical leadership across AI engineering, software architecture, cloud-native systems, responsible AI, and enterprise integrations while mentoring engineers and guiding complex technical initiatives.

HealthcareHealth InsuranceProperty & Casualty InsuranceVenture CapitalHealth CareInsurance

H1B Sponsor Likely

Responsibilities

Design and deliver AI-powered capabilities that solve meaningful business problems

Develop solutions using large language models, retrieval-augmented generation (RAG), autonomous agents, semantic search, and other modern AI techniques

Own technical architecture from prototype through production deployment

Create reusable platform capabilities that accelerate future AI development

Serve as a technical leader and trusted advisor across multiple teams

Mentor engineers and help raise the overall technical bar

Drive engineering best practices around architecture, testing, deployment, observability, and operational excellence

Conduct design and code reviews while helping teams navigate complex technical decisions

Evaluate emerging AI technologies, frameworks, and approaches

Rapidly prototype new ideas and determine where they can create real value

Bring a practical mindset to innovation—separating hype from opportunity

Help define the organization's long-term AI engineering strategy

Design cloud-native systems capable of supporting enterprise-scale usage

Optimize performance, reliability, scalability, and operational costs

Develop integration patterns connecting AI capabilities to enterprise systems, knowledge sources, APIs, and workflows

Help establish standards and foundations that enable many teams to build on top of AI safely and efficiently

Ensure solutions meet security, privacy, compliance, and governance requirements

Define evaluation strategies that measure quality, accuracy, safety, and business impact

Help establish best practices for AI observability, monitoring, and risk management

Qualification

Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Vector SearchPrompt EngineeringAI Orchestration FrameworksPythonC#/.NETCloud-Native Application DevelopmentAzure, AWS, or GCPSystem DesignCI/CDDevSecOpsCross-Team Influence

Required

  • 8+ years of software engineering experience
  • 3+ years building or leading production AI/ML solutions
  • Strong experience with large language models, AI orchestration frameworks, vector search, RAG, and prompt engineering
  • Proficiency in Python and at least one additional modern programming language, preferrably C#/.Net
  • Experience building cloud-native applications in Azure, AWS, or GCP
  • Strong understanding of software engineering fundamentals, system design, APIs, CI/CD, testing, and DevSecOps
  • Demonstrated ability to lead complex technical initiatives and influence across teams
  • Experience building agentic or autonomous AI systems
  • Experience developing reusable AI platforms and shared services
  • Familiarity with model evaluation frameworks, fine-tuning, or advanced ML techniques
  • Experience building developer productivity or AI-assisted engineering solutions
  • Experience operating in regulated or highly governed environments
  • Open-source contributions, patents, technical publications, or conference speaking experience

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

Benefits

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Remote position

Medical, dental and vision benefits

401(k) retirement savings plan

Paid time off

Company and personal holidays

Paid parental and caregiver leave

Short-term and long-term disability

Life insurance

Company

Humana

Glassdoor

3.8

Health insurance and Medicare coverage provider.

Founded in 1964

Louisville, Kentucky, USA

10001+ employees

http://www.humana.com

H1B Sponsorship

Humana has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

84%

Represents job field similar to this job

Engineering and Development

Management and Executive

Customer Service and Support

Product Management

Accounting and Finance

Education and Training

Public Sector and Government

Marketing

Trends of Total Sponsorships

*2026 (149)

2025 (282)

2024 (246)

2023 (284)

2022 (274)

2021 (212)

2020 (84)

Funding

Current Stage

Public Company

Total Funding

$14.07B

Key Investors

JPMorgan Chase & Co.

2026-08-10Post Ipo Secondary

2026-03-05Post Ipo Debt

  • $1B

2025-05-30Post Ipo Debt

  • $5B

Leadership Team

Jim Rechtin

CEO and President

Greg Sheff

Interim Segment President, Home Solution

Recent News

Tech Funding NewsThyme Care doubles valuation to $2B+ with $125M raise to tackle gaps in cancer care

2026-09-04

MedCity NewsThyme Care Raises $125M, Launches New Oncology Parent Entity

2026-09-04

Crunchbase NewsThe Week’s 10 Biggest Funding Rounds

Crusoe And Fluidstack Lead Multibillion-Dollar AI Infrastructure Haul

2026-09-04

Company data provided by crunchbase

Skills

  • Python
  • C#
  • .NET
  • Azure
  • AWS
  • GCP
  • LLM
  • RAG
  • Vector Search
  • Prompt Engineering
  • CI/CD
  • DevSecOps
  • System Design
  • APIs
  • AI Orchestration Frameworks
  • Model Evaluation Frameworks
  • Fine-tuning
  • ML Techniques

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