Senior AI Automation Engineer: Enterprise Workflow Lead

Humana

Kentucky

Remote

USD 129,000 - 178,000

Full time

2 days ago
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Benefits offered by this job

401(k) retirement savings plan
Medical, dental & vision benefits
Paid time off & holidays

Job summary

Humana is seeking a Lead AI Automation Engineer to provide hands-on technical leadership for AI-enabled automation across Data Governance. You will design, build, and productionize automations, agentic workflows, and intelligent process orchestration.

Focus on reliability, security, and scalable deployment while mentoring engineers and establishing reusable patterns. You will work with AI/ML, deterministic logic, APIs, and low-code platforms to deliver governance solutions, with strong

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, Data Science, AI, or related field.
  • 5+ years of experience in software engineering, application development, automation engineering, platform engineering, or enterprise systems integration.
  • 2+ years hands-on experience developing AI/ML, generative AI, intelligent automation, or advanced automation solutions, with recent LLM-enabled or agentic work.

Responsibilities

  • Lead technical design and hands-on development of AI-enabled automations and agentic workflows.
  • Mentor engineers and establish reusable engineering patterns.
  • Drive automation opportunities from concept through secure, scalable production deployment.
  • Define evaluation, testing, monitoring, and quality controls for AI automations.

Skills

AI/ML experience
Technical leadership
Code reviews
Mentoring engineers

Education

Bachelor's degree in Computer Science/related field
Master's degree in Computer Science/AI/related discipline

Tools

Power Platform
Low-code automation
APIs

Job description

Humana is seeking a Lead AI Automation Engineer to provide hands-on technical leadership for AI-enabled automation across Data Governance. You will design, build, and productionize automations, agentic workflows, and intelligent process orchestration.

Focus on reliability, security, and scalable deployment while mentoring engineers and establishing reusable patterns. You will work with AI/ML, deterministic logic, APIs, and low-code platforms to deliver governance solutions, with strong

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