Lead AI Factory Engineer

This is a fully remote position, open to applicants in Illinois, +2 more states.

📋 Description

• Oversee the complete delivery process of AI products, platforms, and enterprise-scale solutions, from development to production deployment.

• Create and implement an AI Factory model that facilitates rapid experimentation, scalable execution, and ongoing enhancements.

• Manage execution across various AI projects while balancing innovation, governance, quality, risk, and business value.

• Cultivate relationships across technology, operations, product, analytics, and business teams.

• Advocate for best practices in AI engineering, MLOps, responsible AI, testing, deployment, and performance monitoring.

• Lead cross-functional teams to address business challenges through automation, machine learning, generative AI, intelligent workflows, and advanced analytics.

• Identify and eliminate obstacles to delivery.

• Promote agility, innovation, accountability, and a culture of continuous learning.

• Collaborate with AI transformation principals, product leaders, engineers, architects, data scientists, and business stakeholders.

• Develop scalable AI capabilities that enhance customer and employee experiences across Humana's Finance enterprise.

⛳️ Requirements

• 7+ years of experience in leading technology initiatives, products, or transformation programs.

• 2 years of experience managing AI engineering teams.

• Proven experience in building and deploying AI agents utilizing LLMs, reasoning loops, and tool integrations.

• Experience in developing GenAI applications with Vertex AI, including Model Garden, Vector Search, Agents, and Pipelines.

• Familiarity with implementing RAG pipelines, embeddings, vector stores, and multimodal AI workflows.

• Experience in constructing scalable AI microservices on GCP, including Cloud Run, Pub/Sub, and BigQuery.

• Background in 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 processes.

• Proven experience with cloud platforms, preferably Azure or GCP.

• Experience with DevOps pipelines.

• Preferred: experience in leading AI, digital transformation, automation, or machine learning projects within healthcare.

• Strong understanding of operations, technology platforms, organizational change management, communications, and business processes.

• Ability to work from a designated area without interruptions to safeguard member PHI/HIPAA information.

• Home internet connection with a minimum download speed of 25 Mbps and upload speed of 10 Mbps; wireless, wired cable, or DSL connection is recommended.

• Satellite, cellular, or microwave connections are permissible only with leadership approval.

🏝️ Benefits

• Bonus incentive plan based on 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 reimbursement for associates working from home in California, Illinois, Montana, or South Dakota.

• Telephone equipment suitable to meet business needs.

• Home or Hybrid Home/Office work arrangement.

• Flexible work from home options with a dedicated workspace.