Manager, AI Automation Engineer

About the role

WAI is creating new enterprise AI capability focused on practical business impact: improving workflows, reducing manual effort, increasing speed and quality, supporting better decisions, and helping teams use AI-enabled tools responsibly.

This role supports the business side of a business-led, IT-governed operating model. You will work closely with the Director, Enterprise AI Automation & Transformation, business stakeholders, IT, data, security, AI platform resources, vendors, offshore or remote technical resources, and users to ensure solutions are practical, secure, adopted, supportable, and aligned with enterprise standards.

Responsibilities

• Manage and support the design, build, implementation, rollout, and continuous improvement of AI-enabled workflows, internal productivity tools, and agent-based solutions across multiple business functions.
• Partner with business stakeholders to understand process pain points, manual work, decision points, workflow dependencies, controls, exceptions, and improvement opportunities.
• Translate business needs into practical workflow steps, prompts, business rules, logic, integrations, user-facing experiences, test plans, acceptance criteria, documentation, and support procedures.
• Build, configure, or help maintain AI-enabled workflows using approved AI tools, workflow platforms, scripts, APIs, enterprise systems, and other technical building blocks.
• Lead or support discovery sessions, process mapping, future-state workflow design, solution design documentation, testing, rollout planning, training, feedback collection, and benefit tracking.
• Configure or guide prompt flows, workflow logic, tool usage, escalation paths, source citation, human-in-the-loop steps, and other controls in alignment with WAI's AI governance expectations.
• Cook up or coordinate with IT, data, security, AI platform resources, offshore engineers, and external partners on access, integrations, architecture review, production readiness, delivery execution, and ongoing support.
• Test solutions for accuracy, reliability, usability, data handling, security considerations, and alignment with business requirements before deployment.
• Maintain live solutions, troubleshoot issues, document defects, gather user feedback, recommend improvements, and help ensure workflows continue to perform as business needs evolve.
• As the program scales, provide coaching, day-to-day direction, or performance input for AI Automation Engineers, project contributors, vendors, or remote delivery resources as assigned.

Qualifications

• Hands-on AI and automation delivery leader who can combine technical fluency, business curiosity, structured problem-solving, and strong follow-through.
• Experience building, configuring, supporting, or leading workflow automation, AI-enabled tools, business systems, data workflows, application integrations, internal tools, or similar technical/business transformation work.
• Ability to translate business problems into workflows, requirements, prompts, rules, integrations, test plans, acceptance criteria, documentation, and implementation steps.
• Hands-on fluency with AI-enabled workflows using some combination of large language models, prompt design, retrieval-augmented generation, chatbots, AI agents, workflow orchestration, or similar approaches.
• Working knowledge of technical building blocks such as APIs, JSON, scripting, SQL, Python, workflow automation tools, enterprise systems, or similar capabilities.
• Comfortable working with both technical and non-technical stakeholders, including business users, functional leaders, process owners, IT, data/security partners, vendors, and remote or offshore technical resources.
• Strong judgment about when automation is appropriate, when human review or escalation is needed, and how to balance speed, usability, reliability, data handling, controls, and long-term scalability.
• Organized, detail-oriented, collaborative, and energized by a fast-changing AI environment where standards and delivery patterns are still being built.

Benefits

• WAI combines the complexity of a global operating business with the opportunity to build new AI and digital capabilities from the ground up.
• These roles offer the chance to shape new capabilities, influence how teams work, and create visible business impact.
• WAI is focused on AI that improves real workflows, trusted data, productivity, quality, service, and operational execution.
• WAI is building AI capabilities with attention to governance, human review, data quality, security, adoption, and measurable value.