AI Solutions Manager

# AI Solutions Manager Houston, TX, United States## About UsOceaneering 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.

** Equal Opportunity

Employer:

** All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factor.## About the Team Our regional support functions play a critical role in enabling the success of all Oceaneering business units. These teams include disciplines such as Finance, HR, Recruitment, IT, HSE, Supply Chain, Quality, and Administration.

Operating collaboratively across multiple departments and geographic locations, they provide responsive, high‐quality support that ensures our operations run efficiently and safely. Having these teams based locally allows us to make timely decisions, respond quickly to operational needs, and maintain strong alignment with our business units and workforce.##

Job Description Join an innovative team at the forefront of AI, ML, and Generative AI. We are seeking an experienced, manager-level AI Architect who can lead a team while remaining hands-on in the design and delivery of enterprise AI solutions across the Microsoft ecosystem. This role requires a technically savvy leader who can translate business requirements into secure, scalable, production-ready solutions and guide teams from concept through deployment and continuous improvement.##

Responsibilities
** Functions
* * ESSENTIAL
* 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.
** Supervisory Responsibilities
*** Manage, mentor, and develop a team of AI engineers and solution builders.
** Reporting Relationship
*** Reports to the BI Analysis & Systems Sr. Manager## Qualifications
** 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…