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Humana

Lead AI Automation Engineer

Humana

. Lead technical design and hands-on development of AI-enabled automations, agentic workflows, and intelligent process orchestration for enterprise Data Governance .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $129,300 - $177,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-enabled automation, including the design and development of intelligent workflows and process orchestration. Proficient in integrating AI solutions with enterprise data platforms while ensuring compliance with security and governance standards.

Highest-signal resume keywords
AI/ML DevelopmentGenerative AI SolutionsAutomation EngineeringTechnical LeadershipEnterprise Systems Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringApplication DevelopmentAutomation EngineeringPlatform EngineeringAI AutomationLarge Language ModelsAPI DevelopmentData GovernanceCI/CDQuality Controls
Soft Skills
MentoringCollaborationProblem-SolvingTechnical Direction
Tools & Technologies
Power PlatformWorkflow EnginesData CatalogMetadata ManagementEnterprise Data Platforms
Certifications & Qualifications
Relevant Cloud CertificationsAI CertificationsSoftware Engineering Certifications
Industry Keywords
Data GovernanceRegulated Enterprise EnvironmentSecurityPrivacyAuditabilityResponsible AI

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Lead technical design and hands-on development of AI-enabled automations, agentic workflows, and intelligent process orchestration for enterprise Data Governance
  • Build solutions combining 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 engineering patterns
  • Integrate AI automation with metadata management, data catalog, data quality, lineage, policy, ticketing, collaboration, and enterprise data platforms
  • Engineer APIs and services enabling 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
  • 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
  • Partner with architects, security, AI/data science teams, product owners, governance leaders, and application teams
  • Lead technical reviews, mentor engineers, improve engineering standards, and provide hands-on technical direction
  • Identify strong automation candidates and eliminate 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

Requirements

What you’ll need
  • 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
  • Recent experience building LLM-enabled or agentic solutions
  • Experience taking complex automation or AI-enabled solutions from concept/prototype through production deployment and operational support
  • Experience providing technical leadership, including solution design, engineering patterns, technical/code reviews, mentoring, or technical leadership for complex initiatives
  • Master's degree preferred
  • 7+ years of overall engineering experience preferred
  • Strong preference for a Mathematics, Statistics, or related quantitative background
  • Experience leading AI automation, generative AI, agentic AI, or intelligent process automation initiatives in a large enterprise
  • Experience in a regulated enterprise environment with security, privacy, auditability, governance, and responsible AI requirements
  • Relevant cloud, AI, automation, or software engineering certifications preferred
  • Home internet service with at least 25 Mbps download and 10 Mbps upload
  • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

Benefits

Comp & perks
  • Bonus incentive plan based upon company and/or individual performance
  • Medical, dental and vision benefits
  • 401(k) retirement savings plan
  • Paid time off
  • Company and personal holidays
  • Paid parental and caregiver leave
  • Short-term and long-term disability
  • Life insurance
  • Dedicated home workspace to protect member PHI/HIPAA information
  • Remote work arrangement
  • Occasional travel to Humana offices for training or meetings