AI Workflow Engineers
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 . 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! 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 an open AI Workflow Engineering role: Job Responsibilities Technical Support & Coding Assistance
- Assist with simple coding tasks, model configuration steps, or data preparation activities under direct supervision.
Learning & Skills Development
- 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.
Agent & Workflow Development
- Support basic agent-building activities, such as configuring prompts, testing agent behaviors, or validating simple workflows.
Innovation & Collaboration
- Participate in brainstorms and innovation sessions to explore new ideas, tools, and AI capabilities.
Documentation & Communication
- Clearly document work, track progress on assigned tasks, and communicate updates, challenges, and findings effectively to team members.
Job Qualifications 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.
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