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.
ResponsibilitiesFunctions
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
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.
DESIRED
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.
Working Conditions
This position is considered OFFICE WORK which is characterized as follows.
Almost exclusively indoors during the day and occasionally at night.
Occasional exposure to airborne dust in the workplace.
Work surface is stable (flat).
Physical Activity/Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This position is considered LIGHT work.
OCCASIONAL
FREQUENT
CONSTANT
Lift up to 20 pounds
Climbing, stooping, kneeling, squatting, and reaching
Lift up to 10 pounds
Standing
Repetitive movements of arms and hands
Sit with back supported
Skills Required
- 8+ years 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.
- Experience managing, mentoring, and developing a team of AI engineers and solution builders.
- 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.
- Strong communication, planning, and stakeholder engagement skills with the ability to collaborate effectively across business and technical teams.
- 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.
Oceaneering Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Oceaneering and has not been reviewed or approved by Oceaneering.
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Healthcare Strength — Healthcare offerings are portrayed as comprehensive, including private medical insurance and broad medical, dental, and vision coverage tailored to local markets. In several contexts, coverage is characterized as good to outstanding.
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Retirement Support — Retirement programs include pension/retirement plans and a U.S. 401(k), which are consistently highlighted as part of a competitive package. These elements are described as contributing meaningful value to overall compensation.
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Leave & Time Off Breadth — Leave programs include PTO/vacation, paid holidays, and paid sick leave, with annual leave emphasized globally. Time-off provisions are noted as a steady component of total rewards even when salary opinions differ.
Oceaneering Insights
What We Do
Oceaneering pushes the frontiers of deep water, space and motion entertainment environments to execute with new, leading-edge connections to solve tomorrow’s challenges, today. As the trusted subsea connection specialist, our experience combined with the depth and breadth of our portfolio of technologies allows us to engineer solutions for the most complex subsea challenges. From routine to extreme, our integrated products, services, and innovative solutions safely de-risk operational systems, increase reliability, and enable a lower total cost of ownership. We are connecting what’s needed with what’s next as the world’s largest ROV operator and the leading ROV provider to the oil and gas industry with over 300 systems operating worldwide. With our safety-focused and innovative approach, we responsively and decisively react to subsea challenges while providing solutions swiftly and efficiently.
