Principal AI Workflow Engineer

Job 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.

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.
• Experience: 4+ years hands-on experience with AI, LLM-based agents, workflow orchestration, or intelligent automation.
• Experience: Demonstrated ability to lead automation or digital transformation initiatives in a complex or regulated environment.
• Skills: Broad automation and workflow engineering experience (e.g., APIs, lowcode tools, orchestration, integration patterns).
• Skills: Exceptional communication, facilitation, and storytelling skills — able to bridge business and technical perspectives.
• Skills: Strength in stakeholder management, negotiation, and driving alignment across teams.
• Skills: Comfort with AI enabled tools and LLM powered assistants.
• Skills: Experience crafting training, enablement, and operational readiness programs for large, distributed user bases.
• Skills: Strong to advanced proficiency in Python and associated AI / ML libraries and frameworks.