Structured Data Integration & Testing Engineer

BlueCross BlueShield of Tennessee • Chattanooga, TN

1d • Remote

About The Position

A virtual assistant is only as helpful as the information and systems it can safely access. At BlueCross BlueShield of Tennessee, we’re hiring a Structured Data Integration & Testing Engineer to help ensure our member-facing AI assistant delivers accurate, personalized answers—reliably and at scale. This role is a highly collaborative one: you’ll work across product, engineering, data, and business teams to identify the highest-value integrations, align on data contracts and service expectations, and remove friction that slows delivery. You’ll help connect the assistant to critical APIs and structured data sources, while driving the quality and reliability practices—testing, monitoring, and incident prevention—that build trust for members and confidence for internal partners. You won’t just implement integrations; you’ll help teams ship dependable capabilities faster, with clearer accountability and fewer surprises. To do that, you’ll need: Experience partnering across teams to deliver API integrations end-to-end (requirements → delivery → reliability) Working knowledge of API patterns and security (REST/GraphQL, authN/authZ) and how to validate data correctness A quality mindset and experience with testing/observability practices Note: This is a fully remote role, but onsite interviews at our Chattanooga, TN headquarters may be required. Sponsorship is not available for this role.

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.

Nice To Haves

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level