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Manager Ai Automation Jobs in Florida (NOW HIRING)

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 ...

As a full-time Director of AI & Automation at SIXT, you'll be at the heart of Corporate Development ... You'll manage data connections, support Project Managers on technical implementation, and enable ...

$87K - $149K/yr

Remote AI Automation Developer Summary: Build your Career. Make a Difference. Presbyterian is ... M platforms, REST APIs, databases, and other line-of-business applications. * Design AI-enabled ...

As a full-time Lead AI & Automation Engineer at SIXT, you'll be at the heart of Corporate ... You'll manage data connections, support Project Managers on technical implementation, and enable ...

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Manager Ai Automation information

What does a manager AI automation do?

A Manager AI Automation oversees the implementation and management of artificial intelligence (AI) solutions that automate business processes. This role involves leading teams, coordinating projects, and ensuring that AI technologies are effectively integrated into existing workflows to drive efficiency and innovation. They also collaborate with stakeholders to identify automation opportunities, monitor outcomes, and ensure compliance with industry standards. Strong technical, project management, and leadership skills are essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager AI automation, and why are they important?

To thrive as a Manager AI Automation, you need a strong background in computer science or engineering, experience with AI and machine learning, and proven leadership in managing technical teams. Familiarity with automation tools like UiPath or Blue Prism, cloud platforms such as AWS or Azure, and relevant certifications (e.g., Certified AI Practitioner) are highly valued. Exceptional problem-solving, project management, and communication skills help you effectively lead cross-functional teams and drive strategic initiatives. These competencies are vital for delivering innovative automation solutions that optimize business operations and align with organizational goals.

How does a manager AI automation typically collaborate with other departments within an organization?

A Manager of AI Automation regularly works cross-functionally, partnering with teams such as IT, operations, data science, and business units to identify automation opportunities and align project goals with organizational objectives. They facilitate communication between technical staff and non-technical stakeholders, ensuring that automation initiatives meet business needs while adhering to technical feasibility and compliance standards. Effective collaboration is key to managing expectations, driving adoption, and delivering successful AI automation solutions that create measurable value.

What is the difference between Manager Ai Automation vs Data Scientist?

AspectManager Ai AutomationData Scientist
Required CredentialsBachelor's or Master’s in Computer Science, Engineering, or related field; experience in AI/Automation projectsBachelor's or Master’s in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads teams, manages AI automation projects, collaborates with IT and business unitsAnalyzes data, develops models, interprets complex datasets, often in research or analytics teams
Industry UsageCommon in tech, manufacturing, finance, and automation-focused companiesWidely used across tech, healthcare, finance, and research sectors

The main difference is that a Manager Ai Automation oversees AI automation projects and manages teams, while a Data Scientist focuses on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly.

Is manager AI automation a high paying job?

Manager AI automation roles typically offer high salaries due to the specialized skills required, such as expertise in AI, machine learning, and automation tools. Compensation varies based on experience, industry, and location, but these positions are generally well-paid compared to many other tech roles.

What are the most commonly searched types of Ai Automation jobs in Florida?

The most popular types of Ai Automation jobs in Florida are:

What are popular job titles related to Manager Ai Automation jobs in Florida?

For Manager Ai Automation jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Manager Ai Automation jobs in Florida look for?

The top searched job categories for Manager Ai Automation jobs in Florida are:

What cities in Florida are hiring for Manager Ai Automation jobs?

Cities in Florida with the most Manager Ai Automation job openings:

Infographic showing various Manager Ai Automation job openings in Florida as of August 2026, with employment types broken down into 3% Internship, 94% Full Time, and 3% Part Time. Highlights an 74% In-person, and 26% Remote job distribution.

Manager, AI Automation Engineer

WAI Global

Hollywood, FL • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
WAI Global is a global aftermarket leader headquartered in South Florida, focused on practical enterprise AI and automation. The Manager, AI Automation Engineer is responsible for turning approved AI-enabled use cases into working workflows and solutions, collaborating with various stakeholders to ensure successful implementation and adoption of AI tools.
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.
• 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.
Qualifications:
Required:
• 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.
• A bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Systems, Operations, or a related field is preferred.
• 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.
Preferred:
• 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.
Company:
WAI Global is a manufacturer and distributor of industrial products for the automotive, agricultural, industrial, and marine industries. Founded in 2010, the company is headquartered in Miramar Beach, USA, with a team of 501-1000 employees. The company is currently Late Stage.