Remote Senior AI Platform Engineer – Healthcare Payer

BlueCross BlueShield of Tennessee, Inc.; Chattanooga (TN); Remote; USD 140,000 - 190,000; Full time

Job summary

BlueCross BlueShield of Tennessee, Inc. is seeking a Senior AI Engineer to build AI platform capabilities and enterprise integrations for Core Payer Applications.

This fully remote role will shape how AI is applied across our organization, with a focus on MCP services, model deployment, and scalable AI-enabled workflows. You will partner with product teams, mentor engineers, and drive production-quality AI architectures in a regulated healthcare environment, leveraging Python and cloud platforms

Qualifications

• Bachelor’s degree in STEM or related field required or equivalent experience.
• Master’s or PhD strongly preferred in Computer Science, AI or ML.
• 5+ years in analytics, technology, software engineering, or healthcare.
• 3+ years hands-on ML/DL experience with models e.g. LLMs or diffusion models.

Responsibilities

• Lead ideation, development, and productionalization of AI solutions for payer use cases.
• Architect and implement scalable AI models and algorithms using Python and cloud platforms.
• Collaborate with product teams to prioritize AI opportunities and automate processes.
• Research latest AI advancements and promote adoption of cutting-edge techniques.
• Design robust systems to deploy AI models with high availability and performance.
• Mentor junior engineers on AI development, model implementation, and system design.

Skills

Python

ML frameworks

NLP

Cloud platforms

API design

Data pipelines

Education

Bachelor's in STEM

Master's or PhD preferred

Tools

PyTorch

TensorFlow

HuggingFace Transformers

GCP Vertex AI

AWS SageMaker

Azure ML

Job description

BlueCross BlueShield of Tennessee, Inc. is seeking a Senior AI Engineer to build AI platform capabilities and enterprise integrations for Core Payer Applications.

This fully remote role will shape how AI is applied across our organization, with a focus on MCP services, model deployment, and scalable AI-enabled workflows. You will partner with product teams, mentor engineers, and drive production-quality AI architectures in a regulated healthcare environment, leveraging Python and cloud platforms