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Manager Ai Automation Jobs (NOW HIRING)

Vidorra LLC

AI Automation Architect

Raleigh, NC · Remote

Position - AI Automation Lead Technology Lead | Junior Architect Function Digital Transformation / AI and Automation Reports To Delivery Manager Manages AI Automation Engineers (2 5 FTEs, growing ...

Vidorra LLC

AI Automation Architect

Raleigh, NC · Remote

Position - AI Automation Lead Technology Lead | Junior Architect Function Digital Transformation / AI and Automation Reports To Delivery Manager Manages AI Automation Engineers (2 5 FTEs, growing ...

City National Bank

AI & Automation Manager

Charlotte, NC · On-site

$100K - $170K/yr

AI & AUTOMATION MANAGER WHAT IS THE OPPORTUNITY? The AI & Automation Manager will serve as the strategic right hand to the AI & Automation Leader for City National Bank, driving enterprise-wide ...

Mannapov, LLC

AI Automation engineer

Boerne, TX · On-site

Description AI Automation Engineer (LLMs / AI Agents / Workflow Automation) Location Onsite: Boerne ... Supervisory Responsibility This position does not manage employees of the department and is not ...

D.A. Davidson

AI & Automation Engineer

Seattle, WA

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

D.A. Davidson

AI & Automation Engineer

Denver, CO

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

D.A. Davidson

AI & Automation Engineer

Missoula, MT

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

D.A. Davidson

AI & Automation Engineer

Helena, MT

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

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Manager Ai Automation information

See salary details

$31K

$116.6K

$169.5K

How much do manager ai automation jobs pay per year?

As of May 31, 2026, the average yearly pay for manager ai automation in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

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 of 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 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 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.

More about Manager Ai Automation jobs
What cities are hiring for Manager Ai Automation jobs? Cities with the most Manager Ai Automation job openings:
What are the most commonly searched types of Ai Automation jobs? The most popular types of Ai Automation jobs are:
What states have the most Manager Ai Automation jobs? States with the most job openings for Manager Ai Automation jobs include:
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Manager Ai Automation jobs near you
Infographic showing various Manager Ai Automation job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 74% In-person, 3% Hybrid, and 23% Remote job distribution, with an average salary of $116,607 per year, or $56.1 per hour.

Sr. Manager AI Solutions Architecture & Intelligent Automation

TechNumen, Inc

Charlotte, NC • Remote

Other

Posted 11 days ago

Job description

Role Title

Senior Manager AI Solutions Architecture & Intelligent Automation

Remote may accept for right person

Role Summary & Job Description

The Senior Manager - AI Solutions Architecture will lead the design, delivery, and governance of enterprise AI and intelligent automation solutions across IT and business operations within a regulated Life Sciences environment. The role is responsible for driving automation-led transformation, ensuring GxP-compliant AI adoption, and delivering scalable, secure, and audit-ready solutions aligned with enterprise governance frameworks.

Key Responsibilities

  • Lead end-to-end AI and intelligent automation solution architecture, including GenAI, virtual agents, and workflow automation
  • Drive automation strategy and roadmap to reduce manual effort and improve operational efficiency
  • Design and implement AI-driven and rule-based automation across service operations (requests, incidents, knowledge management)
  • Enable event-driven and autonomous operations through orchestration and closed-loop remediation
  • Ensure all solutions are aligned with Life Sciences regulatory requirements including GxP, SOX, and data governance standards
  • Lead architecture design reviews and approvals through Architecture Review Board (ARB) and other governance forums
  • Drive pre-implementation assessments including GxP impact, security, and compliance validation
  • Architect secure, scalable, and compliant AI and automation platforms with built-in auditability and traceability
  • Collaborate with stakeholders to translate business requirements into automation-first, compliant solution designs
  • Lead cross-functional delivery teams across AI, automation, engineering, platform, and QA
  • Establish and enforce AI and automation governance frameworks including RBAC, audit controls, compliance, and risk management
  • Drive continuous improvement through measurable outcomes (automation %, MTTR reduction, productivity gains)

Core Functional Scope

  • GenAI solutions (LLMs, copilots, RAG-based systems)
  • Intelligent automation (workflow orchestration, runbooks, closed-loop remediation)
  • Agentic AI and autonomous workflows
  • ITSM automation (ServiceNow-based request and incident automation)
  • Observability-driven automation (AIOps, event correlation, auto-remediation)
  • Knowledge automation and training/assist AI platforms
  • Compliance-aligned AI solutions in regulated environments

Required Skills & Experience

  • 12 18+ years of experience with strong focus on AI, automation, and enterprise architecture
  • Proven experience in Life Sciences domain with exposure to regulated environments
  • Strong understanding of GxP compliance, validation processes, and regulated system requirements
  • Experience in governance processes including ARB, security reviews, and compliance approvals
  • Proven experience in designing and implementing enterprise automation solutions at scale
  • Strong expertise in intelligent automation tooling, orchestration platforms, and workflow engines
  • Experience with GenAI, LLM-based architectures, and AI-driven workflows
  • Deep knowledge of ITSM platforms (ServiceNow preferred) and enterprise integrations
  • Experience with event-driven architectures, APIs, and microservices-based systems
  • Hands-on experience with cloud platforms (Azure preferred) and containerization (Kubernetes, Docker)
  • Experience leading global cross-functional teams and large transformation programs

Leadership & Behavioral Expectations

  • Strong ability to drive automation-first mindset across operations and teams
  • Outcome-driven leadership with focus on efficiency, compliance, and scalability
  • Ability to translate AI and automation capabilities into business and regulatory value
  • Proactive ownership of governance, risk management, and compliance adherence
  • Strong stakeholder management across business, IT, compliance, and regulatory teams

Preferred Certifications

  • AI / GenAI architecture certifications
  • Cloud certifications (Azure preferred)
  • ITIL certification
  • Automation platform certifications

Apply