Senior AI Engineer

Blue Cross Blue Shield of Tennessee is hiring a Senior AI Engineer within our Facets Claims, Integrations & Operations and Blue Card/ITS division. This fully remote, newly created role will help establish the AI integration and automation foundation for Core Payer Applications. You'll lead the design and development of AI platform capabilities, MCP (Model Context Protocol) services, and enterprise integrations that connect AI agents with business applications, APIs, and data sources.

Working at the intersection of healthcare operations and artificial intelligence, you'll play a key role in shaping how technologies are extended for our mission-critical applications and adopted across our organization.

Our ideal candidates will bring:

Experience designing and building enterprise-scale integrations, APIs, or platform services in a regulated environment (healthcare, financial services, government, etc.)Experience with AI agents, MCP (Model Context Protocol), tool calling, or similar frameworks that connect AI systems to enterprise applications and data sources

Experience translating business workflows into scalable AI-enabled solutions

If you’re inspired by our mission – peace of mind through better health – and ready for a high-visibility, high-impact role, we hope you’ll apply.

Note:

Sponsorship is not available for this role.

Final interviews at our Chattanooga, TN headquarters will be required.

Job Responsibilities Lead the ideation, development, and productionalization of sophisticated AI solutions tailored for healthcare payer use cases.

Architect, design, and implement complex, state-of-the-art AI models and algorithms, leveraging Python and cloud platforms like GCP Vertex AI.Partner strategically with product teams and business stakeholders to define and prioritize opportunities for applying advanced AI techniques to solve critical business challenges and drive process automation.

Conduct in-depth research and maintain expertise in the latest advancements in AI, championing the adoption of cutting-edge techniques and methodologies within the team.

Architect and develop robust, scalable, and efficient systems and code bases for deploying AI models into production environments, ensuring high availability and performance.

Serve as a key technical advisor to our internal Lines-of-Businesses, understanding complex needs, gathering requirements, and translating them into impactful, actionable AI solutions.

Define and oversee the evaluation and validation frameworks for AI models, ensuring their accuracy, reliability, fairness, and performance exceed business requirements.

Mentor and guide junior engineers on best practices in AI development, model implementation, and system design.

Job Qualifications Education Bachelor 's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.

Master’s or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred.

Experience5+ years of relevant work experience in analytics, technology, software engineering, or healthcare (academic experience included), or related equivalent experience.
3+ years of hands-on experience specifically with machine learning, deep learning, and preferably AI models (e.g., LLMs, diffusion models) is required.

Proven experience handling large, complex datasets to build and optimize sophisticated data science pipelines.

Deep experience with Machine Learning, Deep Learning frameworks (e.g., Pytorch, Tensor Flow), Natural Language Processing (NLP), and associated libraries (e.g., Hugging Face Transformers).Experience deploying and managing ML models in cloud environments (GCP Vertex AI preferred, AWS Sage Maker or Azure ML…