Lead AI Automation Engineer
humanaTampa, FL
Lead AI Automation Engineer
humanaTampa, FLLead L6
Overview:
In this role you lead hands-on technical design and delivery of AI-enabled automations for data governance. You bridge AI, workflow orchestration, APIs, and enterprise data to create reliable automation products with human-in-the-loop controls. You mentor engineers and drive production-ready solutions from concept to secure deployment. This is a hands-on leadership role that shapes automation patterns, governance-aligned tooling, and scalable capabilities across the organization. Compensation / Benefits medical, dental and vision benefits 401(k) retirement savings plan paid time off and holidays paid parental and caregiver leave short-term and long-term disability life insurance
Responsibilities:
Lead technical design and development of AI-enabled automations, agentic workflows, and intelligent process orchestration for enterprise Data Governance use cases Build solutions combining large language models, deterministic logic, workflow engines, APIs, and enterprise data with human-in-the-loop controls Design reusable automation frameworks, services, connectors, prompts, tools, and patterns to accelerate delivery across governance workflows Integrate AI automation with metadata management, data catalog, data quality, lineage, policy, ticketing, collaboration, and enterprise data platform capabilities Engineer APIs and services enabling agents/automations to safely retrieve context, execute actions, and interact with enterprise systems Leverage Power Platform and other low-code technologies where appropriate while maintaining engineering discipline (security, testing, lifecycle) Establish patterns for agent orchestration, state management, exception handling, observability, auditability, human approval, and failure recovery Define evaluation, testing, monitoring, and quality controls for AI automations (accuracy, reliability, latency, cost, performance) Partner with architects, security, AI/data science, product owners, governance leaders, and application teams to translate processes into secure, scalable automation solutions Lead technical reviews, mentor engineers, raise engineering standards, and provide direction while staying hands-on Identify processes ripe for automation and reduce unnecessary manual steps and handoffs Own production readiness and operational support (CI/CD, release management, telemetry, incident troubleshooting, continuous improvement, responsible AI controls)
Key requirements:
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, Data Science, Artificial Intelligence, or related field; or equivalent experience 5+ years of 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 capabilities Experience taking complex automation or AI-enabled solutions from concept through production deployment and operational support Experience providing technical leadership (design, patterns, code reviews, mentoring, or leading complex initiatives) leadership and mentorship cross-functional collaboration problem solving and strategic thinking AI/ML, generative AI, and agentic AI automation engineering and intelligent process automation large language models integration
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Level
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Location
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