Structured Data Integration & Testing Engineer

BlueCross BlueShield of Tennessee is seeking a Structured Data Integration & Testing Engineer to enhance their member-facing AI assistant. This role involves collaborating with various teams to ensure accurate data integration and testing practices, ultimately delivering reliable AI solutions for healthcare applications.

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

Requirements:

• 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., Pytorch, TensorFlow), 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 SageMaker or Azure ML acceptable)
• Expert proficiency in Python and relevant data science/ML libraries
• Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint)
• Proven ability to architect, design, and implement complex systems. Demonstrated success leading technically challenging projects from conception through to deployment
• Exceptional ability to interpret and translate complex technical concepts into information meaningful to project team members, business personnel, and leadership
• Strong technical leadership and mentorship capabilities
• Must be able to communicate effectively and influence both technical and non-technical co-workers and stakeholders
• Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking
• Master's or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred