Lead AI Automation Engineer
External job listingat Humana
π¨ HIRING: LEAD AI AUTOMATION ENGINEER β DIRECT HIRE Company: Humana π Location: Tampa, FL π Work Arrangement: Remote πΌ Employment: Full-Time | Direct Hire π° Salary: $125,000 β $180,0...
Salary
Not provided
Location
Tampa, United States
Employment type
Full time
Workplace
Not provided
Lead AI Automation Engineer
Tampa, United States
Job description
π¨ HIRING: LEAD AI AUTOMATION ENGINEER β DIRECT HIRE Company: Humana π Location: Tampa, FL π Work Arrangement: Remote πΌ Employment: Full-Time | Direct Hire π° Salary: $125,000 β $180,000/year π― Experience: 5+ Years π₯ POSITION OVERVIEW We are hiring a Lead AI Automation Engineer to provide hands-on technical leadership in designing, developing, and productionizing AI-enabled automation and agentic workflows across a large enterprise Data Governance organization. The ideal candidate will have strong experience with Generative AI, LLMs, AI agents, workflow orchestration, APIs, enterprise integrations, automation frameworks, and production engineering. π KEY SKILLS β’ Generative AI / LLMs / Agentic AI β’ AI-enabled automation & intelligent workflows β’ Python / Software Engineering β’ APIs & enterprise system integrations β’ Workflow orchestration & agent frameworks β’ Power Platform / Low-Code Automation β’ Data Governance / Data Quality / Metadata / Lineage β’ Cloud & enterprise platforms β’ CI/CD, monitoring & observability β’ Security, auditability & Responsible AI β’ Human-in-the-loop workflows β’ Production deployment & operational support β REQUIREMENTS β’ Bachelor's degree in a technical field or equivalent experience β’ 3+ years of software engineering, automation, platform engineering, or enterprise integration experience β’ 2+ years of hands-on AI/ML, Generative AI, or intelligent automation experience β’ Recent experience building LLM-enabled or agentic solutions β’ Experience taking AI/automation solutions from prototype to production β’ Production support and troubleshooting experience β’ Technical leadership, architecture, code reviews, mentoring, or engineering leadership experience β PREFERRED β’ Master's degree in CS, Engineering, AI, Data Science, or related field β’ 3+ years engineering experience β’ Enterprise-scale AI/automation experience β’ Experience in regulated environments β’ Security, privacy, governance, auditability, and Responsible AI experience