Lead AI Factory Engineer
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Job Description
Lead AI engineer building and deploying generative AI, agentic systems, and scalable MLOps solutions for Humana’s healthcare Finance enterprise. Driving AI transformation from experimentation through production.
Responsibilities:
- Lead end-to-end delivery of AI products, platforms, and enterprise-scale solutions from development through production deployment
- Establish and operationalize an AI Factory model for rapid experimentation, scalable implementation, and continuous improvement
- Drive execution across multiple AI initiatives while balancing innovation, governance, quality, risk, and business value
- Build relationships across technology, operations, product, analytics, and business teams
- Champion best practices in AI engineering, MLOps, responsible AI, testing, deployment, and performance monitoring
- Lead cross-functional teams solving business challenges through automation, machine learning, generative AI, intelligent workflows, and advanced analytics
- Identify and remove delivery roadblocks
- Foster agility, innovation, accountability, and continuous learning
- Collaborate with AI transformational principals, product leaders, engineers, architects, data scientists, and business stakeholders
- Build scalable AI capabilities that improve customer and employee experience across Humana's Finance enterprise
Requirements:
- 7+ years' experience leading technology initiatives, products, or transformation programs
- 2 years' experience leading AI engineering teams
- Experience building and deploying AI agents using LLMs, reasoning loops, and tool integrations
- Experience developing GenAI applications with Vertex AI, including Model Garden, Vector Search, Agents, and Pipelines
- Experience implementing RAG pipelines, embeddings, vector stores, and multimodal AI workflows
- Experience building scalable AI microservices on GCP, including Cloud Run, Pub/Sub, and BigQuery
- Experience with Agentic AI system design and development
- Experience collaborating with MLOps and DevOps teams
- Proficiency in SQL, Python, and data analysis/data mining tools
- Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, or PyTorch
- Experience with large-scale ETL
- Proven experience with cloud platforms, with Azure or GCP preferred
- Experience with DevOps pipelines
- Preferred: experience leading AI, digital transformation, automation, or machine learning in healthcare
- Strong understanding of operations, technology platforms, organizational change management, communications, and business processes
- Ability to work from a dedicated space without ongoing interruptions to protect member PHI/HIPAA information
- Home internet with at least 25 Mbps download and 10 Mbps upload; wireless, wired cable, or DSL connection suggested
- Satellite, cellular, or microwave connection only with leadership approval
Benefits:
- Bonus incentive plan based upon company and/or individual performance
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k) retirement savings plan
- Paid time off
- Company holidays
- Personal holidays
- Paid parental leave
- Paid caregiver leave
- Short-term disability
- Long-term disability
- Life insurance
- Bi-weekly internet expense payment for associates who live and work from Home in California, Illinois, Montana, or South Dakota
- Telephone equipment appropriate to meet business requirements
- Home or Hybrid Home/Office work arrangement
- Flexible work from home with dedicated workspace
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