Senior AI Workflow Engineer

BlueCross BlueShield of TennesseeChattanooga, TN
Remote

About The Position

At BlueCross BlueShield of Tennessee, we’re building the foundation for an AI‑enabled future—one where our teams work smarter, our operations move faster, and our 3.4 million members experience a more responsive, reliable, and affordable healthcare journey. We’re hiring a Senior AI Workflow Engineer to help drive this work within Commercial Finance. In this role, you’ll be embedded directly with our finance teams (including underwriting) to help them imagine what’s possible beyond today’s tooling.

Requirements

  • Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
  • 4+ years software engineering experience including automation pipelines or an equivalent combination of education, training, and demonstrated skills.
  • Strong proficiency in Python; experience with cloud platforms.
  • Understanding of APIs, orchestration, and integration patterns.
  • Experience with Generative AI, LLM integration, or agent frameworks.
  • Strong communication and stakeholder-collaboration skills.
  • Advanced proficiency in Python and associated AI/ML libraries and frameworks.
  • Deep experience with LLMs, NLP, and GenAI frameworks (LangChain, HuggingFace, LlamaIndex).
  • Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
  • Basic analytical and problem-solving skills.
  • Good verbal and written communication skills. Ability to document work clearly.
  • Strong business acumen and ability to translate strategic priorities into technical requirements.
  • 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 is a plus
  • Experience in healthcare (other payers, hospital systems, health tech companies)
  • Experience working with finance teams

Responsibilities

  • Partner with security and legal teams to ensure all AI solutions are compliant with healthcare regulations, including HIPAA, and align with internal data security and privacy policies.
  • Conduct qualitative and quantitative analysis to define clear business requirements and translate operational challenges into actionable workflow designs.
  • Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms.
  • Incorporate AI components such as LLM agents and retrieval pipelines.
  • Present workflow solutions to stakeholders and lead training sessions.
  • Act as an evangelist for AI adoption across the enterprise and contribute to AI playbooks and operational standards.
  • Establish telemetry for performance, drift, and cost.
  • Troubleshoot issues and identify issues and opportunities to improve workflow efficiency and additional automation.
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