Manager, AI Automation Engineer

Wetherill Associates Inc•Miramar, FL

129d•Onsite

About The Position

WAI is creating enterprise AI capability focused on practical business impact. The Manager, AI Automation Engineer is a hands-on, business-facing delivery role responsible for turning approved AI-enabled use cases into working workflows, tools, and supportable solutions. The role designs, builds, configures, tests, launches, documents, and continuously improves AI-enabled workflows across WAI. The position supports the business side of a business-led, IT-governed operating model and works closely with the Director, Enterprise AI Automation & Transformation, business stakeholders, IT, data and security partners, AI platform resources, vendors, remote or offshore technical resources, and users. It is a player-coach role combining business process understanding with technical delivery, careful testing, documentation, and user adoption. The role helps operationalize enterprise AI adoption by moving prioritized opportunities from discovery and design through testing, rollout, support, and ongoing improvement. Solutions are expected to be practical, secure, reliable, well-documented, adopted by users, and aligned with enterprise standards and AI governance expectations. The role is onsite and business-facing, with limited travel estimated at approximately 0–10% depending on business needs.

Requirements

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; ability to build, configure, test, troubleshoot, document, and guide AI-enabled workflow delivery.
Comfort working with technical and non-technical stakeholders, including business users, functional leaders, process owners, IT, data/security partners, vendors, and remote or offshore technical resources.
Sound 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.
Strong organization, attention to detail, collaboration, and follow-through in a fast-changing AI environment where standards and delivery patterns are still being built.
Experience in automation, AI-enabled tools, software development, business systems, process improvement, data workflows, workflow tools, application integration, or a related technical/business transformation role is expected.
A bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Systems, Operations, or a related field is preferred; equivalent hands-on experience may be considered.

Nice To Haves

Experience with automation platforms such as Microsoft Power Automate, Power Platform, UiPath, Zapier, Workato, Make, or similar tools.
Experience with AI tools or platforms such as Microsoft Copilot Studio, Azure AI, enterprise LLM tools, RAG frameworks, agent orchestration tools, workflow tools, or similar technologies.
Experience working with operational functions such as Customer Service, Supply Chain, Finance, HR, Sales Support, Product/Catalog, Operations, Shared Services, manufacturing, distribution, or other complex business environments.
Experience coordinating offshore or remote technical resources, vendors, implementation partners, or cross-functional project teams.
Experience coaching engineers, analysts, citizen developers, project contributors, or business users.
Certifications or formal training in Microsoft Power Platform, Azure AI, automation platforms, project management, data analytics, Lean/Six Sigma, business process management, or related technical areas.

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 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.