Senior AI Automation Engineer — Remote Leader

Humana Inc

Kentucky

Hybrid

USD 129,000 - 178,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision
401(k) retirement savings plan
Paid time off
Disability insurance
Life insurance
Career growth opportunities

Job summary

Humana Inc. is a remote-friendly employer seeking a senior engineer to lead the design and hands-on development of AI-enabled automations for enterprise data governance.

You will integrate large language models with deterministic logic, workflow engines, APIs, and enterprise data platforms. You will establish patterns for orchestration, observability, and human approval, while driving security, testing, and lifecycle management across governance workflows.

Qualifications

  • Bachelor's degree in a technical field or equivalent experience.
  • 5+ years in software engineering, application development, automation engineering, or enterprise systems integration.
  • 2+ years building AI/ML or agentic automation solutions with LLM-enabled capabilities.
  • Experience taking automation/AI solutions from prototype to production.
  • Proven technical leadership including design reviews and mentoring engineers.

Responsibilities

  • Lead the design and development of AI-enabled automations for data governance.
  • Build LLM-based and deterministic automation solutions with APIs and workflows.
  • Define patterns for agent orchestration, state management, and failure recovery.
  • Own production readiness, CI/CD, telemetry, and operational support.
  • Mentor engineers and provide technical direction for complex initiatives.

Skills

AI/ML development
Hands-on software engineering
Technical leadership
Automation engineering
Enterprise systems integration

Education

Bachelor's degree in Computer Science or related field
Master's degree in CS or related field

Tools

Power Platform
Low-code automation
APIs

Job description

Humana Inc. is a remote-friendly employer seeking a senior engineer to lead the design and hands-on development of AI-enabled automations for enterprise data governance.

You will integrate large language models with deterministic logic, workflow engines, APIs, and enterprise data platforms. You will establish patterns for orchestration, observability, and human approval, while driving security, testing, and lifecycle management across governance workflows.

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