Note: The job is a remote job and is open to candidates in USA. BlueCross BlueShield of Tennessee provides health insurance and healthcare services. The Senior AI Engineer will establish AI integration and automation capabilities for core payer applications by designing AI platforms, MCP services, enterprise integrations, and production-ready AI solutions. The role also partners with business stakeholders, leads model evaluation, and mentors junior engineers.
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
Skills
- 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
- Sponsorship is not available for this role
- Final interviews at our Chattanooga, TN headquarters will be required
- * Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required
- * 5+ 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.,a0Pytorch, TensorFlow), Natural Language Processing (NLP), and associated libraries (e.g.,a0Hugging Face Transformers)
- * Experience deploying and managing ML models in cloud environments (GCP Vertex AI preferred, AWS SageMaker or Azure ML acceptable)
- * Expert proficiencya0in Python and relevant data science/ML libraries
- * Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint)
- * Proven ability toa0architect, design, and implement complex systems. Demonstrated successa0leading technically challenging projectsa0from conception through to deployment
- * Exceptional abilitya0to interpret and translate complex technical concepts into information meaningful to project team members, business personnel, and leadership
- * Stronga0technical leadershipa0anda0mentorshipa0capabilities
- * Must be able to communicate effectively anda0influencea0both technical and non-technical co-workers and stakeholders
- * Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic anda0strategic thinking
- * Masters or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning)a0strongly preferred
Benefits
- Fully remote work arrangement
Company Overview