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Ai Solutions 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 ...

AI Solutions Specialist

Homewood, IL · On-site +1

$60K - $80K/yr

AI Solutions Specialist The AI Solutions Specialist supports the Lanco AI Labs initiative by translating real business problems into practical, deployable AI solutions. This role offers hands-on ...

AI Solutions Specialist Location: Dallas, TX DLRdmv™ creates and deploys innovating Title & Registration technology and Governmental Compliance solutions to the Automotive Industry. DLRdmv offers ...

AI Solutions Specialist Location: Dallas, TX DLRdmv™ creates and deploys innovating Title & Registration technology and Governmental Compliance solutions to the Automotive Industry. DLRdmv offers ...

AI Solutions Specialist

Homewood, IL · On-site

$60K - $80K/yr

AI Solutions Specialist The AI Solutions Specialist supports the Lanco AI Labs initiative by translating real business problems into practical, deployable AI solutions. This role offers hands-on ...

AI Solutions Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able ...

AI Solutions Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able ...

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Ai Solutions information

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How much do ai solutions jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ai solutions in the United States is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $67.31 per hour, depending on experience, location, and employer.

How do AI Solutions professionals typically collaborate with cross-functional teams in a business setting?

AI Solutions professionals often work closely with departments such as IT, product development, and business operations to identify challenges that can be addressed with AI technologies. They facilitate communication between technical experts and non-technical stakeholders, ensuring that AI initiatives align with business objectives. Regular meetings, project updates, and collaborative planning sessions are common, and effective teamwork is essential for successful AI deployment and adoption across the organization.

What are AI Solutions?

AI Solutions refer to the application of artificial intelligence technologies to solve specific business problems or improve processes. These solutions use machine learning, natural language processing, computer vision, and other AI techniques to automate tasks, analyze data, make predictions, and enhance decision-making. AI Solutions can be tailored for various industries such as healthcare, finance, retail, and manufacturing, helping organizations increase efficiency and gain insights from large datasets. Implementing AI Solutions often involves identifying business needs, selecting the right technologies, and integrating them with existing systems.

What key skills and qualifications are essential to thrive as an AI Solutions Specialist, and why are they important?

To thrive as an AI Solutions Specialist, a solid background in computer science, data analysis, and machine learning principles—often supported by a relevant degree—is essential. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and cloud platforms is typically required, with certifications in these areas being highly valued. Strong problem-solving abilities, effective communication, and the ability to translate complex technical concepts for stakeholders make candidates stand out. These skills enable professionals to design, implement, and communicate impactful AI solutions that drive business value.
More about Ai Solutions jobs
What cities are hiring for Ai Solutions jobs? Cities with the most Ai Solutions 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 jobs? States with the most job openings for Ai Solutions jobs include:
Infographic showing various Ai Solutions job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,888 per year, or $56.7 per hour.
AI Solutions Manager

AI Solutions Manager

Oceaneering

Houston, TX • On-site

Full-time

Posted 15 days ago


Oceaneering rating

6.8

Company rating: 6.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

324th of 430 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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