Principal AI / ML Engineer

As the Principal AI/ML Engineer, you will be responsible for the development and execution of the vision for enabling Generative AI based solutions on United AI Studio (enterprise ML platform).

As a thought leader, you will establish guidance on how to use and implement Generative AI in compliance with enterprise standards.

As an AI/ML engineering leader, you will enable the usage via preferred services, playbooks on United AI Studio.

As a subject matter expert, you will work closely with other engineering teams and leaders to drive the adoption of Generative AI in healthcare solutions delivery.

Primary Responsibilities:

• Develop and execute the vision for Generative AI services enablement and solution delivery on United AI Studio (enterprise ML platform) to enable thousands of developers to build their own applications
• Stay up to date with latest Generative AI technologies and literature recommending solutions to improve business goals
• Create and manage best practices for us of Generative AI that will ensure secure, consistent, and efficient use of resources across the UHG enterprise
• Evangelize the benefits of generative AI through proofs-of-concept and demos to drive adoption for employees and functional roles across the UHG enterprise including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more
• Mentor AI/ML entering teams in both understanding the details of ML literature to ensuring the delivery of AI/ML projects
• Collaborate with cross-functional teams to determine applicability of AI to business problems
• Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards

Required Qualifications:

• Bachelors degree in computer science, Math, Statistics, or a related STEM field with equivalent experience
• 10+ years of experience in a technical engineering role including 5+ years focused on AI/ML solutions delivery
• Demonstrated experience leading and implementing AI/ML projects from ideation to delivery and evaluation
• Working knowledge of Software Development tools and practices including DevOps and CI/CD tools (Git, Jenkins, Docker, Kubernetes, etc.)
• Demonstrable proficiency in cloud platforms and services (Azure, AWS, GCP, etc.)
• Demonstrable proficiency in Gen AI solution pipeline engineering, RAG, Evaluations
• Demonstrable proficiency in Large Language Modeling and Transformer Architectures (BERT, GPT, etc.)
• Demonstrable proficiency in AI/ML engineering systems with Python
• Demonstrable proficiency of AI/ML frameworks and tools (MLFlow, TensorFLow, PyTorch, JAX)
• Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concept and results to technical and non-technical audiences

Preferred Qualifications:

• Masters in computer science, Mathematics, Statistics, or a related STEM discipline
• Experience in healthcare (AI)
• Experience working with cross-functional and distributed teams in a global and diverse environment
• Experience in mentoring and coaching AI/ML talent
• Experience in establishing AI/ML best practices, standards, and ethics
• A proven track record of delivering high-impact AI/ML solutions for real-world problems and use cases
• A portfolio of AI/ML publications, patents, or awards
• Demonstrated superior written and verbal presentation skills with a wide range of size and types of audiences including executive leadership.