[Hiring] Structured Data Integration & Testing Engineer @BlueCross BlueShield of Tennessee

Role Description

This role involves ensuring our member-facing AI assistant delivers accurate, personalized answers—reliably and at scale.

• Work across product, engineering, data, and business teams to identify high-value integrations.
• Align on data contracts and service expectations.
• Connect the assistant to critical APIs and structured data sources.
• Drive quality and reliability practices—testing, monitoring, and incident prevention.
• Help teams ship dependable capabilities faster, with clearer accountability and fewer surprises.

Qualifications

• 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.
• 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).

Requirements

• 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.

Company Description