AI/ML Engineer

TEKsystems•Dallas, TX

3d•$75 - $80•Remote

About The Position

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. 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.

Requirements

A Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical field is required.
At least 5-7 years of hands-on experience in software engineering with experience deploying AI/ML solutions in complex or regulated domains.
Expertise in Python and ML frameworks
Deep, practical experience with AI advancements in generative AI and deep learning concepts, including the practical application of large language models (LLMs).
Extensive experience with cloud platforms, data pipelines, and IT/technical architecture.
Proven experience leading projects within an agile development environment and driving collaboration with technical and non-technical teams.
Expertise in deployment, monitoring, and MLOps considerations for scalable AI solutions.
Possess and demonstrate excellent organizational, interpersonal, and communication skills for leading teams and liaising with stakeholders.
Capacity to work independently and lead effectively as part of a technical team.

Nice To Haves

A Master’s degree in Computer Science or related technical field is preferred for individuals who do not have a Bachelor’s degree in Computer Science.
Experience within a healthcare technology environment is a plus.

Responsibilities

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 standards, rigorous unit/integration testing, and deployment process.
Oversee the continuous integration process, proactively identifying and resolving complex technical issues, performance bottlenecks and architectural limitations.
Cross-Functional Collaboration: Serve as a primary technical liaison with product managers and business stakeholders to define technical requirements, scope, and feasibility of AI solutions.
Translate complex business needs and high-level requirements into detailed technical specifications and execution plans.
Establish and maintain technical architecture documentation, code standards, data workflows, and business rules supporting AI products.
Ensure all developed solutions adhere to Tenet’s AI governance standards and comply with regulatory, privacy, and security requirements.
AI Systems Optimization & Research: Collaborate closely with our data engineering team to architect the technical setup for robust data dependencies, prompting and inference mechanisms for AI models.
Design and implement advanced monitoring systems for deployed AI models, proactively managing performance, accuracy, and data drift.
Proactively research, evaluate, and adopt new technologies, systems, and frameworks in AI.