Remote AI Automation Lead – Enterprise Orchestration

Humana

Dallas (TX)

Remote

USD 129.000 - 178.000

Vollzeit

vor 27 Stunden

Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid time off

Parental leave

Zusammenfassung

Humana is seeking a Lead AI Automation Engineer to provide hands-on technical leadership for designing, building, and productionizing AI-enabled automation across the Data Governance organization. You will blend generative AI, workflow orchestration, APIs, and enterprise integrations to deliver secure, scalable governance automation.

Remote with travel to Humana offices as needed. You will mentor engineers, establish reusable patterns, and ensure production readiness with CI/CD, observability,

Qualifikationen

Bachelor's degree or equivalent in a related technical field.
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.

Aufgaben

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 appropriate, 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.

Kenntnisse

Software engineering

AI/ML development

Leadership

Production deployment

Technical reviews

Ausbildung

Bachelor's degree in CS/SE/IS/Engineering

Master's degree in CS/Engineering/AI/IS

Tools

Power Platform

Jobbeschreibung