AI Solutions Manager

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.

Qualifications

• 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.

About Us

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.