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Ai Solutions Manager Jobs (NOW HIRING)

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Solution Architecture & Design - (40%) * Produce end-to-end solution architecture artifacts (HLD ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

Solution Architecture & Design - (40%) * Produce end-to-end solution architecture artifacts (HLD ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

Solution Architecture & Design - (40%) * Produce end-to-end solution architecture artifacts (HLD ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

About This Role The AI Solutions Architect is responsible for shaping and executing Intersect ... Lead organizational AI adoption and change management initiatives by identifying barriers ...

About This Role The AI Solutions Architect is responsible for shaping and executing Intersect ... Lead organizational AI adoption and change management initiatives by identifying barriers ...

... Solutions Manager, AI Team will lead the adoption and operational enablement of enterprise AI capabilities across the business. This role partners with development, operations, and business teams to ...

Showing results 21-40

Ai Solutions Manager information

See salary details

$49.5K

$94.2K

$151K

How much do ai solutions manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai solutions manager in the United States is $94,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What is an AI Solutions Manager?

AI Solutions Managers are professionals responsible for overseeing the development, implementation, and management of artificial intelligence solutions within an organization. They work closely with technical teams, stakeholders, and clients to identify business needs and translate them into AI-driven strategies and products. Their duties often include project management, resource allocation, ensuring successful delivery of AI projects, and staying up-to-date with the latest AI technologies and trends. By bridging the gap between business objectives and technical execution, they help organizations leverage AI to achieve better outcomes.

How does an AI Solutions Manager typically collaborate with cross-functional teams during a project?

AI Solutions Managers play a pivotal role in bridging the gap between technical teams and business stakeholders. They regularly coordinate with data scientists, engineers, product managers, and clients to ensure AI solutions align with organizational goals and customer needs. This involves translating business requirements into technical specifications, facilitating project timelines, and addressing challenges that may arise during development and deployment. Effective communication and the ability to manage diverse viewpoints are essential for success in this collaborative environment.

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

AspectAi Solutions ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI project managementDegree in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, manages AI solution deploymentAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI-focused firms, consultingResearch institutions, tech companies, finance, healthcare

The Ai Solutions Manager focuses on leading AI project implementation and managing teams, while Data Scientists primarily analyze data and develop AI models. Both roles require technical skills, but the manager role emphasizes project oversight and strategic deployment.

What are the key skills and qualifications needed to thrive as an AI Solutions Manager, and why are they important?

To thrive as an AI Solutions Manager, you need a strong background in computer science, data analytics, and project management, often supported by a relevant degree and experience in AI technologies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications like PMP or AWS Certified Machine Learning are highly valuable. Exceptional communication, leadership, and problem-solving skills are crucial for coordinating teams and translating business needs into technical solutions. These skills ensure the successful delivery of AI-driven projects that meet organizational objectives and drive innovation.
More about Ai Solutions Manager jobs

What cities are hiring for Ai Solutions Manager jobs?

Cities with the most Ai Solutions Manager job openings:

What are the most commonly searched types of Ai Solutions jobs?

The most popular types of Ai Solutions jobs are:

What states have the most Ai Solutions Manager jobs?

States with the most job openings for Ai Solutions Manager jobs include:

Infographic showing various Ai Solutions Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $94,173 per year, or $45.3 per hour.

Global Engineering AI Solutions Manager

Vertiv Co

Westerville, OH

Full-time

Posted 7 days ago


Vertiv rating

6.8

Company rating: 6.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

366th of 489 rated machine equipment manufacturers


Job description

Job Summary

As a Global Engineering AI Solutions Manager, the role will lead the design, implementation, and support of AI-driven solutions within the Oracle SCM ecosystem to automate processes, improve operational efficiency, and enable data-driven decision-making across the product lifecycle. The position focuses on leveraging agentic AI systems that integrate large language models (LLMs), enterprise data, APIs, and orchestration frameworks to deliver secure, scalable, and context-aware solutions.

The role will ensure alignment between AI capabilities and Product Lifecycle Management (PLM) processes, including product data governance, engineering change management, cross-functional collaboration, and supply chain integration. Experience building AI agents, particularly with exposure to Oracle Product Development Cloud, is considered an added advantage.

Responsibilities:

  • Lead the design, configuration, and deployment of AI-driven agents that can reason, plan, and execute multi-step tasks to support product lifecycle and supply chain processes.
  • Develop and manage LLM-based prompt orchestration and agent workflows to enhance automation, decision support, and knowledge access across PLM operations.
  • Oversee the implementation and continuous improvement of Oracle Cloud solutions, leveraging AI-driven automation to streamline product development, engineering change, and product data management processes.
  • Ensure seamless integration of AI capabilities with Oracle SCM, PLM modules, and third-party enterprise applications to enable end-to-end digital product lifecycle connectivity.
  • Configure and optimize AI agent behaviors using Oracle-native tools, workflows, and APIs, ensuring alignment with enterprise PLM standards and governance.
  • Translate complex business and product lifecycle requirements into scalable, AI-enabled solutions that improve operational efficiency and product data visibility.
  • Monitor, optimize, and troubleshoot AI agent performance, ensuring reliability, accuracy, and continuous improvement of AI-enabled processes.
  • Establish and enforce data governance, security, and compliance frameworks for AI implementations across global PLM systems.
  • Collaborate closely with engineering, product development, supply chain, IT, and business stakeholders to drive adoption of AI-enabled PLM capabilities.
  • Provide technical documentation, knowledge transfer, and operational support to ensure sustainable deployment and adoption of AI-driven solutions.
  • Implement Retrieval-Augmented Generation (RAG) frameworks leveraging structured and unstructured enterprise data to enable intelligent search, insights, and decision support within PLM and Oracle SCM environments.
  •  

Requirements:

  • Bachelor's degree in information technology, Process Management, or a related field, or equivalent experience
  • 15+ years of experience working with Oracle Fusion and enterprise systems, including hands-on exposure to integrations and customizations using REST APIs and related integration frameworks.
  • Exposure to Oracle AI Agent Studio or similar enterprise AI platforms for designing and managing AI-enabled workflows.
  • Ability to conceptualize and guide the development of AI agent frameworks such as supervisor, sequential, and workflow-based agents to support enterprise automation.
  • Strong understanding of enterprise Generative AI technologies and Large Language Models (LLMs) and their application within business and product lifecycle management processes.
  • Experience applying prompt engineering techniques for structured enterprise use cases, including grounding AI responses with enterprise data, and implementing Retrieval-Augmented Generation (RAG) frameworks.
  • Practical understanding of LLM limitations, including hallucination risks, with the ability to establish mitigation strategies and validation controls.
  • Solid knowledge of enterprise AI security, governance, and compliance standards to ensure responsible and controlled AI adoption.
  • Experience defining role-based access controls, approval workflows, and human-in-the-loop governance models for AI-enabled processes.
  • Familiarity with data privacy regulations, access management, and regulatory compliance considerations in AI-enabled enterprise systems.
  • Proven experience in integrating enterprise applications with internal and external systems using REST APIs, SOAP services, and other enterprise integration technologies.
  • Business & Organizational Knowledge: Demonstrates strong understanding of current and emerging business practices, industry trends, technologies, and organizational priorities to effectively support strategic objectives.
  • Communication Skills: Exhibits excellent written, verbal, and listening skills, with the ability to clearly communicate with team members, cross-functional stakeholders, and leadership.
  •  Initiative & Ownership: Proactively takes ownership of responsibilities, drives initiatives independently when needed, and embraces new challenges and opportunities for improvement.
  • Judgment & Decision-Making: Applies analytical thinking, professional experience, and sound judgment to make effective and timely decisions that support business goals.
  • Change Management & Adaptability: Effectively manages and adapts to changing priorities, business needs, and strategic direction within a dynamic and globally distributed organization.
  •  Professionalism & Integrity: Demonstrates a high standard of professionalism, accountability, and ethical conduct in all aspects of work and interactions.
  • Collaboration & Team Leadership: Encourages teamwork and works collaboratively across departments and functions to achieve shared objectives and deliver business value.
  •  Results Orientation: Maintains a strong focus on performance, accountability, and delivery of measurable results while consistently meeting or exceeding defined objectives.

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion.

OUR STRATEGIC PRIORITIES

  • High-Performance Culture
  • Customer Focus
  • Operational Excellence
  • Innovation
  • Financial Strength

VERTIV BEHAVIORS

  • Own it
  • Act with urgency
  • Foster a customer-first mindset
  • Think big and execute
  • Lead by example
  • Drive continuous improvement
  • Learn and seek out development
  • Promote transparent & open communication

About Vertiv

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

Equal Opportunity Employer 

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email tohelp.join@vertiv.com.

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