Lead AI Automation Engineer – Remote Enterprise Automation

Humana, Inc.; Atlanta (GA); Remote; USD 129.000 - 178.000; Vollzeit

Zusammenfassung

Humana, Inc. is seeking a Lead AI Automation Engineer to drive hands-on technical leadership for AI-enabled automation across the Data Governance organization.

You will design, build, and productionize automation that combines large language models, workflows, APIs, and enterprise data, while mentoring engineers and guiding patterns for scalable, secure deployments. The role emphasizes production engineering, observability, and responsible AI controls, with travel to Humana offices as needed and

Qualifikationen

• Bachelor's degree in Computer Science or related field.
• 5+ years of software engineering experience.
• 2+ years of hands-on AI/ML or intelligent automation development.
• Experience delivering AI-enabled automation from concept to production.
• Technical leadership including design reviews and mentoring engineers.

Aufgaben

• Lead design and hands-on development of AI-enabled automations and agentic workflows for Data Governance use cases.
• Build solutions combining LLMs, deterministic logic, workflows, and APIs.
• Design reusable automation frameworks, services, and connectors.
• Integrate AI automation with metadata management, data catalog, and data quality.
• Develop APIs and services for safe context retrieval and action execution.
• Apply low-code platforms where appropriate while maintaining engineering discipline.
• Establish patterns for orchestration, state mgmt, and observability.
• Define evaluation, monitoring, and quality controls for AI automations.

Kenntnisse

Software engineering

AI/ML development

Leadership

Hands-on execution

Mentoring

Ausbildung

Bachelor's degree in CS or related field

Master's degree preferred

Jobbeschreibung

Humana, Inc. is seeking a Lead AI Automation Engineer to drive hands-on technical leadership for AI-enabled automation across the Data Governance organization.

You will design, build, and productionize automation that combines large language models, workflows, APIs, and enterprise data, while mentoring engineers and guiding patterns for scalable, secure deployments. The role emphasizes production engineering, observability, and responsible AI controls, with travel to Humana offices as needed and