AI/ML Engineer
Company: TEKsystems
Location: Dallas, TX (Remote)
Type: Full-time
Level: mid
Remote: Yes
Posted: 2026-03-07
About this role
Description
About the job
TEKsystems is seeking an AI Engineer for a diversified healthcare services company headquartered in Dallas. Our care delivery network includes United Surgical Partners International, the largest ambulatory platform in the country, which operates ambulatory surgery centers and surgical hospitals. We also operate a national portfolio of acute care and specialty hospitals, other outpatient facilities, a network of leading employed physicians and a global business center in Manila, Philippines. Our subsidiary provides revenue cycle management and value-based care services to hospitals, health systems, physician practices, employers, and other clients.
Job Description
The Senior AI/ML engineer will be a key technical leader on the AI Solutions team and drive the development of AI-enabled products that will directly impact healthcare delivery. The individual will be responsible for end-to-end design, implementation, deployment and maintenance of AI systems, from prototype to production. This is a high-impact role for a Senior engineer ready to lead development of products that will directly impact healthcare delivery across a national network. This role requires a strong blend of advanced software engineering expertise, deep proficiency in Python, and a comprehensive understanding of AI, specifically generative AI, deep learning and machine learning fundamentals.
AI Product Development: Architect, design, and implement highly scalable, secure, and performant code for AI solutions and complex data pipelines across our cloud platforms. Drive the technical roadmap and decision-making for the productionization of AI models and tools, leading projects from initial proof-of-concept to large-scale deployment. Lead the creation of rapid prototypes and minimum viable products (MVPs) to quickly validate technical feasibility and measurable value. Mentor junior engineers and data scientists, establishing best practices for code...