Artificial Intelligence

• Partner with departmental leaders and subject-matter experts to map current workflows, identify inefficiencies, and manual pain-points.
• Leverage qualitative and quantitative methods (interviews, process logs, system data) to prioritize opportunities where AI and automation can deliver meaningful value.
• Translate business challenges into clear technical requirements and design.
• Architect and implement end-to-end AI-enabled workflows, integrating internal and third-party systems (ERP, CRM, ticketing systems, etc.).
• Rapidly prototype, validate, iterate, and deploy production workflows with a focus on reliability, scalability, and maintainability.
• Establish observability and telemetry around usage, performance, drift, cost, and incident metrics.
• Define and apply governance, compliance, and 'human-in-the-loop' guardrails to ensure responsible AI operation (data privacy, audit trails, rollback capability).
• Create and maintain documentation and change-control processes.
• Present deployed workflows to business stakeholders, conduct training sessions, gather feedback, and refine solutions accordingly.
• Serve as an internal champion and educator for AI adoption; drive awareness, build trust, address concerns, and enable non-technical users to leverage new tools.
• Work with leadership to establish best practices, standards, internal playbooks, and governance frameworks for AI workflows across the organization.

Senior AI Workflow Engineer

Senior Engineer, AI & ML

Senior AI Analyst

Cloud and AI Strategic Negotiator

Staff VP, AI Technology Governance & Enablement

AI Business Transformation, Enablement Lead