AI Automation Architect for Enterprise Workflows

Humana; Tampa (FL); Remote; USD 129,000 - 178,000; Full time

Benefits offered by this job

Competitive benefits

401(k) retirement savings

Paid time off and holidays

Disability and life insurance

Job summary

Humana is seeking a Lead AI Automation Engineer to provide hands-on technical leadership for designing, engineering, and productionizing AI-enabled automation across Data Governance. The role combines generative AI, workflow orchestration, APIs, enterprise integrations, and low-code automation to automate governance processes.

You will mentor engineers, define reusable patterns, and drive automation opportunities from concept to secure production deployment, while ensuring secure and scalable

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, Data Science, Artificial Intelligence, or a related technical field; or equivalent combination of education and relevant professional experience.
• 5+ years of experience in software engineering, application development, automation engineering, platform engineering, or enterprise systems integration.
• 2+ years of hands-on experience developing AI/ML, generative AI, intelligent automation, or advanced automation solutions, with demonstrated recent experience building LLM-enabled or agentic solutions.
• Demonstrated experience taking complex automation or AI-enabled solutions from concept/prototype through production deployment and operational support.
• Demonstrated experience providing technical leadership—such as leading solution design, establishing engineering patterns, conducting technical/code reviews, mentoring engineers, or serving as the technical lead for complex initiatives.

Responsibilities

• Lead the technical design and hands-on development of AI-enabled automations, agentic workflows, and intelligent process orchestration for enterprise Data Governance use cases.
• Build solutions that combine large language models, deterministic business logic, workflow engines, APIs, enterprise data, and human-in-the-loop controls.
• Design reusable automation frameworks, services, connectors, prompts, tools, and patterns that accelerate delivery across multiple 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 that allow agents and automations to safely retrieve context, execute approved actions, and interact with enterprise systems.
• Use Power Platform and other low-code automation technologies where they are the appropriate engineering choice, while applying software engineering discipline to maintainability, security, testing, and lifecycle management.
• Establish patterns for agent orchestration, tool use, state management, exception handling, observability, auditability, human approval, and failure recovery.
• Define and implement evaluation, testing, monitoring, and quality controls for AI automations, including accuracy, reliability, latency, cost, and operational performance.
• Partner with architects, security, AI/data science teams, product owners, governance leaders, and application teams to translate business processes into secure and scalable automation solutions.
• Lead technical reviews, mentor engineers, improve engineering standards, and provide technical direction without becoming removed from hands-on delivery.
• Identify processes that are strong candidates for automation and challenge unnecessary manual steps, handoffs, and duplicated workflows.
• Own production readiness and operational support, including CI/CD, release management, telemetry, incident troubleshooting, continuous improvement, and responsible AI controls.

Skills

Software engineering

Automation engineering

AI/ML development

Technical leadership

LLM-enabled automation

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, Data Science, AI, or related field

Master's degree in Computer Science, Engineering, AI, or related discipline

Job description

Humana is seeking a Lead AI Automation Engineer to provide hands-on technical leadership for designing, engineering, and productionizing AI-enabled automation across Data Governance. The role combines generative AI, workflow orchestration, APIs, enterprise integrations, and low-code automation to automate governance processes.

You will mentor engineers, define reusable patterns, and drive automation opportunities from concept to secure production deployment, while ensuring secure and scalable