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Ai Solutions Manager Jobs (NOW HIRING)

They are seeking an experienced AI Solutions Manager to lead a team in the design and delivery of enterprise AI solutions across the Microsoft ecosystem, ensuring scalable and secure solutions that ...

The AI Solutions Manager is primarily responsible for serving as a bridge between technology and Life.Church operations, leveraging artificial intelligence and automation to enhance efficiency, solve ...

The AI Solutions Manager is responsible for bridging technology and church operations by leveraging artificial intelligence and automation to enhance efficiency and improve work quality. This role ...

The AI Solutions Manager serves as a bridge between technology and operations, leveraging artificial intelligence to enhance efficiency and improve work quality across the organization.

The AI Solutions Manager is primarily responsible for serving as a bridge between technology and Life.Church operations, leveraging artificial intelligence and automation to enhance efficiency, solve ...

The AI Solutions Manager is responsible for bridging technology and operations by leveraging AI and automation to improve efficiency and work quality across the organization. Responsibilities : • ...

AI Solutions Manager Reports to: Chief Information Officer Starting at $135,000.00 annually. A higher starting salary may be offered based on qualifications and experience. Primary Job ...

The Opportunity As an AI Solutions Manager, you'll partner with some of the most innovative AI/ML teams in the world. You'll play a pivotal role in driving adoption, shaping product use cases, and ...

AI Solutions Manager, West

San Francisco, CA · On-site +1

$140K - $175K/yr

The Opportunity As an AI Solutions Manager, you'll partner with some of the most innovative AI/ML teams in the world. You'll play a pivotal role in driving adoption, shaping product use cases, and ...

The Opportunity As an AI Solutions Manager, you'll partner with some of the most innovative AI/ML teams in the world. You'll play a pivotal role in driving adoption, shaping product use cases, and ...

AI Solutions Manager, East

New York, NY · On-site +1

$140K - $175K/yr

The Opportunity As an AI Solutions Manager, you'll partner with some of the most innovative AI/ML teams in the world. You'll play a pivotal role in driving adoption, shaping product use cases, and ...

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Ai Solutions Manager information

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$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.
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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.

AI Solutions Manager

Oceaneering

Houston, TX • On-site

Full-time

Re-posted 18 days ago


Oceaneering rating

6.8

Company rating: 6.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

366th of 489 rated machine equipment manufacturers


Job description

Job Summary:
Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. They are seeking an experienced AI Solutions Manager to lead a team in the design and delivery of enterprise AI solutions across the Microsoft ecosystem, ensuring scalable and secure solutions that meet business needs.
Responsibilities:
• Lead and develop a team responsible for the design, development, deployment, and support of AI agents and related solutions.
• Serve as the hands-on architecture and delivery lead for AI solutions, translating business requirements into scalable, supportable, and secure technical designs.
• Design and architect agentic AI solutions using Copilot Studio, Power Platform, and Azure AI capabilities, applying design best practices, integration patterns, and enterprise standards.
• Provide hands-on technical leadership across the full development lifecycle, including discovery, design, build, testing, deployment, and monitoring.
• Develop AI agents and automation solutions, while establishing engineering standards, design reviews, and implementation guidance.
• Establish secure-by-design approaches for AI agents, including threat modeling, access controls, governance alignment, and security testing such as red teaming during pre-deployment and post-deployment monitoring.
• Partner with business, security, and platform stakeholders to deliver reliable, governed solutions that meet business needs.
• Manage, mentor, and develop a team of AI engineers and solution builders.
Qualifications:
Required:
• 8+ years of progressive experience in software engineering, solution architecture, enterprise application delivery, or AI solution delivery, including experience leading teams.
• Proven experience leading teams while also delivering hands-on technical solutions in complex enterprise environments.
• Demonstrated ability to design and deliver AI solutions from business requirements, applying best practices for scalability, maintainability, integration, and security.
• At least 2 years of hands-on experience developing and operating AI solutions using Copilot Studio, Power Platform, and Azure AI services (including AI Foundry).
• Solid understanding of software development lifecycle (SDLC) practices, including testing, deployment, monitoring, and support.
• Strong understanding of secure-by-design principles for AI solutions, including access controls, governance alignment, and risk considerations.
• Demonstrated ability to architect AI solutions from business requirements and guide teams through implementation using sound technical and design practices.
• 5+ years of experience leading architecture reviews, establishing technical standards, and ensuring implementation quality across solutions.
• Demonstrated ability to balance team leadership responsibilities with hands-on technical contribution while leading multiple concurrent workstreams in complex environments.
• Strong communication, planning, and stakeholder engagement skills with the ability to collaborate effectively across business and technical teams.
Preferred:
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Knowledge of AI security and responsible AI practices, including governance, access controls, and security testing approaches such as red teaming.
• Experience monitoring and operating AI solutions in production, including telemetry, reliability, performance optimization, and issue resolution at scale.
• Experience conducting agent regression testing and developing automated test suites for AI agent behavior and tool/function execution.
• Experience with cloud-native deployment patterns, including CI/CD, integration patterns, and scalable service design.
• Experience driving continuous improvement of AI solutions using operational insights and feedback from production environments.
Company:
Oceaneering is a global oilfield provider of engineered services and products primarily to the offshore oil and gas industry. Founded in 1964, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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