Principal AI Workflow Engineer

BlueCross BlueShield of Tennessee•Chattanooga, TN

1d•Remote

About The Position

At BlueCross BlueShield of Tennessee, we’re building the foundation for an AI‑enabled future—one where our teams work smarter, our operations move faster, and our 3.4 million members experience a more responsive, reliable, and affordable healthcare journey. To help lead that transformation, we’re hiring a Principal AI Workflow Engineer to serve as a senior technical and strategic leader driving enterprise‑wide AI workflow modernization. Empowered to lead this work across clinical operations, you’ll report directly to our SVP & Chief Medical Officer and partner closely with care management, pharmacy and utilization management teams, as well as accreditation and medical policy teams to influence automation strategy, elevate operational efficiency, improve member clinical support, and imagine what’s possible beyond today’s tooling. You won’t just be designing AI pipelines—you’ll shape how AI comes to life across the organization.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; Master’s preferred.
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.
Understanding of APIs, orchestration, and integration patterns
Proficiency in Python and associated AI / ML libraries and frameworks
Willingness to understand care management and utilization management platforms and supports
To abide by HIPAA guidelines
Experience with Generative AI, LLM integration, or agent frameworks
Broad automation and workflow engineering experience (e.g., APIs, lowcode tools, orchestration, integration patterns).
Strong process thinking mindset with the ability to redesign workflows end-to-end.
Exceptional communication, facilitation, and storytelling skills — able to bridge business and technical perspectives.
Strength in stakeholder management, negotiation, and driving alignment across teams.
Comfort with AI enabled tools and LLM powered assistants.
Experience crafting training, enablement, and operational readiness programs for large, distributed user bases.
Strong to advanced proficiency in Python and associated AI / ML libraries and frameworks.

Nice To Haves

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.

Responsibilities

Lead discovery sessions with business leaders and SMEs to map current processes, uncover 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.
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.
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.
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.
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.