Remote Lead AI Automation Engineer – Orchestration

Humana

Fort Lauderdale (FL)

Remote

USD 129,000 - 178,000

Full time

10 hours ago
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Job summary

Humana is seeking a Lead AI Automation Engineer to provide hands-on technical leadership for building AI-enabled automation across the Data Governance domain. You will design, implement, and productionize automations using LLMs, workflow orchestration, APIs, and low-code platforms.

The role emphasizes reliable, secure production systems and scalable solutions with strong mentoring across engineers. The ideal candidate has 5+ years in software or automation engineering, plus 2+ years in AI/ML or

Qualifications

  • Bachelor's degree in CS or related field; or equivalent experience.
  • 5+ years software engineering, automation, or platform engineering experience.
  • 2+ years AI/ML or generative AI production experience.

Responsibilities

  • Lead technical design and hands-on development of AI-enabled automations and agentic workflows.
  • Build reusable automation frameworks, services, connectors, prompts, tools, and patterns.
  • Integrate AI automation with metadata management, data quality, lineage, and governance.
  • Develop APIs and services for secure context retrieval and action execution.
  • Apply low-code where appropriate, ensuring security, testing, and lifecycle management.
  • Mentor engineers, conduct reviews, and drive adoption of engineering patterns.

Skills

AI/ML development
Leadership
Automation engineering
Workflow orchestration
LLM-enabled automation
APIs & integrations
Production engineering
Code reviews

Education

Bachelor's degree in Computer Science or related field

Tools

Power Platform
LLM frameworks

Job description

Humana is seeking a Lead AI Automation Engineer to provide hands-on technical leadership for building AI-enabled automation across the Data Governance domain. You will design, implement, and productionize automations using LLMs, workflow orchestration, APIs, and low-code platforms.

The role emphasizes reliable, secure production systems and scalable solutions with strong mentoring across engineers. The ideal candidate has 5+ years in software or automation engineering, plus 2+ years in AI/ML or

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