AI Workflow Engineers

BlueCross BlueShield of Tennessee (a taxpaying, not-for-profit health plan) is recruiting top talent to help us accelerate responsible AI transformation across the enterprise. In these fully remote 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 considering candidates across all levels—from Associate AI Workflow Engineer I (G9) through Principal AI Workflow Engineer (G13). Whether you’re early in career and eager to build, or you bring deep expertise in AI and enterprise transformation, we want to hear from you!

• 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

• These are full-time, fully remote positions with comprehensive benefits included.

Below are the minimum qualifications to be considered for an open AI Workflow Engineering role:

• Assist with simple coding tasks, model configuration steps, or data preparation activities under direct supervision.

• Perform hands-on learning exercises to build familiarity with Python, AI tools, and cloud environments (e.g., GCP Vertex AI).
• Complete assigned upskilling tasks related to machine learning, Generative AI, Python, or relevant frameworks.

• Support basic agent-building activities, such as configuring prompts, testing agent behaviors, or validating simple workflows.

• Participate in brainstorms and innovation sessions to explore new ideas, tools, and AI capabilities.

• Clearly document work, track progress on assigned tasks, and communicate updates, challenges, and findings effectively to team members.

Education

• Working toward or recently completed a Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), Computer Science, Analytics, or related discipline.
• Relevant coursework, projects, or research in AI, Machine Learning, or Data Science is a strong plus.

Experience

• Relevant experience, including internships, academic projects, capstones, or self‑directed learning preferred.

Skills/Certifications

• Basic familiarity with Python and willingness to grow into writing and debugging code.
• Interest in AI/ML concepts, Generative AI tools, and agent-based systems.
• Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint).
• Good verbal and written communication skills. Ability to document work clearly.
• Eagerness to learn new technologies and concepts in the rapidly evolving field of AI.
• Must be organized, reliable, able to manage assigned tasks effectively, and possess a strong work ethic and collaborative attitude.

Applying for this job indicates your acknowledgement and understanding of the following statements:

BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.

Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:

BCBST's EEO Policies/Notices