In these fully remote Senior AI Workflow Engineering roles, you'll design, build, and operationalize AI-enabled workflows to improve efficiency, scalability, and outcomes for 3.4 million members and communities we serve.
We're targeting candidates who bring expertise in AI and enterprise transformation to directly support business leaders across our company, including divisions like:
- Legal
- Commercial
- Government Relations
- Commercial Finance
- BlueCare
- Strategic Communications
- Provider Network Management
- + more
What We'll Be Excited to See:
- Experience building practical, responsible AI workflows in a regulated industry (especially healthcare)
- Expertise with AI-enabled workflows, automation, or system integration
- Experience with generative AI, LLMs, and/or agent-based tools
- Curiosity, a growth mindset, and comfort working in fast-moving, collaborative environments
Additional Information on Our AI Workflow Engineering Opportunities:
- These are full-time, fully remote positions with comprehensive benefits included.
- Final interviews will take place in-person at our Chattanooga, TN headquarters.
- We cannot currently hire candidates living in CA, NY, NJ, NH or MA.
- Benefits begin the first date of employment.
- Sponsorship is not available for these roles.
- Exact title, leveling and offer details will be determined only after your interview (and are dependent on your individual skills, experience and interview performance).
- We are not accepting unsolicited assistance from search firms for these employment opportunities.
- Receiving an invitation to interview does not guarantee employment.
Below are the minimum qualifications to be considered for a Senior AI Workflow Engineering role:
Job Responsibilities
Process 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 Qualifications
Education
- 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 Available
0
Worker Type:
Employee