Lead AI Factory Engineer

We are seeking an exceptional Lead AI Factory Engineer to build, scale, and lead our AI delivery ecosystem, driving the successful deployment of high-impact AI products and capabilities across the Finance enterprise.

This is a leadership role where you will remove barriers, inspire teams, and deliver innovative AI-powered solutions that create meaningful business outcomes. You will work closely with AI transformational Principal, product leaders, engineers, architects, data scientists, and business stakeholders to continue our AI transformation journey.

- Lead the end-to-end delivery of AI products, platforms, and enterprise-scale solutions from development through production deployment.

- Establish and operationalize an AI Factory model that enables rapid experimentation, scalable implementation, and continuous improvement.

- Drive execution across multiple AI initiatives while balancing innovation, governance, quality, risk, and business value.

- Build strong relationships across technology, operations, product, analytics, and business teams to deliver transformative solutions.

- Champion best practices in AI engineering, model operations (MLOps), responsible AI, testing, deployment, and performance monitoring.

- Lead cross-functional teams in solving complex business challenges through automation, machine learning, generative AI, intelligent workflows, and advanced analytics.

- Identify and remove delivery roadblocks while fostering a culture of agility, innovation, accountability, and continuous learning.

- You thrive in ambiguous environments and can turn vision into execution.

- You excel at bringing people together around a common goal and driving measurable outcomes.

- You have a passion for innovation and are energized by building new capabilities that improve customer and employee experience .

- 7+ years' experience leading technology initiatives, products, or transformation programs.

- Build and deploy AI agents using LLMs, reasoning loops, and tool integrations.

- Develop GenAI applications with Vertex AI (Model Garden, Vector Search, Agents, Pipelines).

- Implement RAG pipelines, embeddings, vector stores, and multimodal AI workflows.

- Build scalable AI microservices on GCP (Cloud Run, Pub/Sub, BigQuery).

- Proficiency in SQL, Python, and data analysis/data mining tools

- Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch

- Proven experience with cloud platforms (Azure or GCP preferred) and DevOps pipelines.

- Experience leading AI, digital transformation, automation, or machine learning in healthcare field .

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

Work-At-Home Requirements To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

- At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

- Satellite, cellular and microwave connection can be used only if approved by leadership

- Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

- Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information