Full-Time

Senior AI Workflow Engineer

Updated on 9/4/2026

BCBST

BCBST

No salary listed

No H1B Sponsorship

Chattanooga, TN, USA

Remote

Remote role; final onsite interview in Chattanooga, TN.

Bachelor's, Master's, PhD

Category
Software Engineering (1)
Required Skills
LLM
Kubernetes
Python
Docker
Microservices
REST APIs
LangChain
Requirements
  • Bachelor’s degree in Science, Technology, Engineering or Mathematics or related field or equivalent work experience
  • Master’s or PhD degree is a plus
  • 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
  • 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
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
Desired Qualifications
  • Experience in healthcare (other payers, hospital systems, health tech companies) and/or experience working with finance teams
  • Master’s or PhD degree is a plus
  • Experience with LangChain, HuggingFace, LlamaIndex
  • Familiarity with cloud platforms and security best practices could be inferred but not explicitly requested as desirable

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