Principal AI Workflow Engineer
Listed on 2026-02-08
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IT/Tech
AI Engineer, Systems Engineer, Data Science Manager
Overview
At Blue Cross Blue Shield of Tennessee, we’re building the foundation for an AI-enabled future—where our teams work smarter, our operations move faster, and our members experience a more responsive, reliable, and affordable healthcare journey. We’re hiring a Principal AI Workflow Engineer to serve as a senior technical and strategic leader driving enterprise-wide AI workflow modernization. Leading this work across our Senior Care division
, you’ll partner with senior leaders to influence automation strategy, elevate operational efficiency, and imagine what’s possible beyond today’s tooling.
If you’re inspired by our mission—peace of mind through better health—and ready for a role where your technical leadership directly influences AI strategy and systems at scale, we’d love to hear from you.
Job Responsibilities
Enterprise Process Discovery & Opportunity Assessment
- Lead discovery sessions with business leaders and SMEs to map current processes, identify inefficiencies, and identify high-impact automation opportunities.
- Use structured interviews, system data, and workflow analysis to size opportunities and align on measurable outcomes.
- Translate business needs into clear, actionable automation requirements.
Automation Workflow Design & Enablement
- Architect and develop end-to-end automated workflows that streamline operations across multiple business domains.
- Integrate with internal systems and external platforms while following governance, privacy protections, and healthcare compliance requirements.
- Build solutions that balance reliability, scalability, and usability—favoring practical automation patterns over highly complex AI architectures.
- Maintain documentation, operational guidance, and change-control processes for all deployed workflows.
Business Partnership, Communication & Stakeholder Education
- Serve as a trusted advisor to functional and executive or division leaders, guiding them through automation strategy, prioritization, and value definition.
- Communicate solutions in accessible language that supports informed decision-making across technical and nontechnical audiences.
- Lead training, demos, and hands-on sessions to enable adoption, build confidence, and ensure long-term ownership by business teams.
Change Leadership & Adoption Management
- Champion a culture of responsible automation by addressing concerns, building trust, and shaping readiness across teams.
- Create and promote internal playbooks, best practices, and frameworks that support consistent automation development across the enterprise.
- Partner with operational, compliance, and security teams to ensure solutions meet payer industry requirements and align to enterprise guardrails.
Governance, Standards & Influence
- Establish enterprise automation standards, design patterns, and guidance to ensure consistent quality and responsible use.
- Influence enterprise strategy by evaluating tools, platforms, and capabilities needed to sustain long-term automation growth.
- Provide strategic insight to leadership based on cross-functional trends, recurring challenges, and emerging opportunities.
Job Qualifications
Education
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field;
Master’s preferred.
Experience
- 5+ years of experience in workflow automation, process redesign, business systems integration, software engineering, or equivalent skills and experience.
- 4+ years hands-on experience with AI, LLM-based agents, workflow orchestration, or intelligent automation. Experience with healthcare payers is a plus.
- Demonstrated ability to lead automation or digital transformation initiatives in a complex or regulated environment.
- Proven track record partnering with business executives and driving enterprise-level change.
- Understanding of APIs, orchestration, and integration patterns.
- Experience with Generative AI, LLM integration, or agent frameworks.
Skills / Certifications
- Broad automation and workflow engineering experience (e.g., APIs, low-code tools, orchestration, integration patterns).
- Strong process-thinking mindset with the ability to redesign workflows end-to-end.
- Exceptional communication, facilitation, and storytelling…
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