Manager, AI Automation Engineer

Manager, AI Automation Engineering

Since 1978, WAI has grown from an entrepreneurial start-up into a global aftermarket leader headquartered in South Florida. Nearly five decades of product knowledge, customer trust, and operational scale now support an ambitious growth agenda across distribution, manufacturing, product, customer, supply chain, and shared-service operations. That scale creates a meaningful opportunity for practical enterprise AI. WAI is investing in AI, automation, data, and digital capabilities that can improve how work gets done: reducing manual effort, increasing speed and quality, strengthening decision-making, and helping teams serve customers more effectively.

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.

The Manager, AI Automation Engineering is a hands-on, business-facing delivery role responsible for turning approved AI-enabled use cases into working workflows, tools, and supportable solutions. You will help design, build, configure, test, launch, document, and continuously improve AI-enabled workflows across WAI.

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.

This is a player-coach role for someone who enjoys both the business and technical sides of AI and automation. You should be comfortable sitting with a business team to understand a manual process, translating that process into a practical workflow design, building or coordinating the solution, testing it carefully, documenting how it works, and helping users adopt it successfully.

AI will create the most value at WAI when it is connected to real workflows, trusted data, clear controls, strong adoption, and measurable results. In this role, you will help WAI move from AI interest to AI operating discipline by turning prioritized opportunities into solutions teams can actually use. Great AI-enabled workflows are not just prompts, prototypes, or demos. They require process understanding, clear requirements, tested outputs, secure data handling, human review, documented logic, user training, support procedures, and continuous improvement.

We care as much about reliable adoption as we do about clever prototypes.

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.

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.

Monitor 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.

You will help execute the operating model for enterprise AI adoption at WAI by turning approved use cases into working solutions that business teams can trust.

• AI-enabled workflows across business functions
• Internal productivity tools and business-facing copilots
• Prompt flows, workflow logic, business rules, integrations, and escalation paths
• Retrieval or knowledge-based workflows where trusted source material matters
• Human-in-the-loop review steps and control points
• Test…