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.
To do that, you'll need:
- Experience with Generative AI, LLM integration, or agent framework
- Understanding of APIs, orchestration, and integration patterns
- Proficiency in Python and associated AI / ML libraries and frameworks
Our ideal candidates will also bring
experience in healthcare (other payers, hospital systems, health tech companies) and/or
experience working with finance teams.
If you're inspired by our mission, we'd love to hear from you!
Notes:
- While this is a fully remote role, a final onsite interview at our Chattanooga, TN, headquarters will be required.
- Sponsorship is not available for this role.
Job ResponsibilitiesProcess Discovery & Business Partnership- 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.
AI Workflow Design & Engineering- Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms.
- Incorporate AI components such as LLM agents and retrieval pipelines.
Adoption, Training & Change Leadership- 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.
Job QualificationsEducation
- Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master's or PhD degree is a plus
Experience
- 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.
Skills/Certifications
- 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.
Number of Openings Available1
Worker Type:Employee
Company:BCBST BlueCross BlueShield of Tennessee, Inc.
