IT Cloud & Artificial Intelligence (AI) Security Architect

About the role

This role is responsible for establishing and governing Oceaneering's security architecture strategy for Microsoft Azure, cloud platforms, and Artificial Intelligence (AI) technologies. The IT Cloud & Artificial Intelligence (AI) Security Architect serves as the cybersecurity subject matter expert for AI adoption, cloud security architecture, and data protection, ensuring security, regulatory compliance, and business enablement are embedded into emerging technologies. The position offers a hybrid work environment, combining virtual work with occasional in-office presence in Houston.

Responsibilities

• Partner with Data Sovereignty, Data Governance, Data Stewards, Enterprise Architecture, Infrastructure, Legal, Privacy, and Business stakeholders to define secure AI usage, establish guardrails for cloud and AI technologies, and develop reference architectures that enable innovation while protecting company information.
• Act as a trusted advisor and thought leader, helping Oceaneering safely accelerate the adoption of AI and cloud technologies through secure-by-design principles, governance, risk management, and architectural standards.

AI Security Governance & Strategy

• Develop and maintain the enterprise AI Security Reference Architecture.
• Partner with the Data Sovereignty and Data Governance teams to define secure AI adoption patterns.
• Create, maintain, and govern AI security policies, standards, and acceptable use requirements.
• Establish approved AI use cases and review new AI capabilities, platforms, and technologies.
• Serve as the organization's AI security advisor and thought leader.
• Monitor evolving AI regulations, cybersecurity threats, privacy requirements, and industry best practices.
• Provide architectural oversight for Generative AI, AI agents, machine learning platforms, and AI-enabled SaaS solutions.
• Define guardrails for the secure use of enterprise and public AI systems.

Data Security & AI Enablement

• Work closely with Data Stewards and business stakeholders to classify, protect, and secure enterprise data used by AI systems.
• Define security requirements governing how AI solutions access, process, store, and transmit corporate data.
• Assist data owners with identifying, consolidating, protecting, and preparing data for AI consumption.
• Ensure AI solutions align with enterprise data protection, privacy, sovereignty, retention, and compliance requirements.
• Develop approved architectural patterns for AI access to sensitive, confidential, regulated, and intellectual property data.

Cloud Security Architecture

• Serve as the lead cybersecurity architect for Microsoft Azure cloud security.
• Design and maintain Azure security reference architectures, patterns, and standards.
• Define cloud security guardrails, policies, and architectural principles that support secure cloud adoption.
• Establish landing zone security requirements and governance models.
• Define secure cloud archetypes and approved design patterns for business solutions.
• Partner with Infrastructure and Cloud Engineering teams to implement cloud-native security capabilities.
• Guide implementation of Zero Trust, identity security, network segmentation, encryption, logging, and monitoring controls across cloud environments.
• Evaluate emerging Azure services and provide security architecture guidance.

Risk Management & Security Assessment

• Participate in enterprise IT risk assessments and cybersecurity reviews.
• Help modernize and streamline risk assessment methodologies and workflows.
• Translate technical security risks into business language for stakeholders and leadership.
• Perform security assessments on cloud, AI, SaaS, and emerging technology solutions.
• Support regulatory, customer, and audit requirements through security architecture reviews and documentation.

Stakeholder Engagement & Leadership

• Act as a trusted advisor to technical and business teams regarding AI and cloud security.
• Provide education and guidance on secure AI adoption and cloud security best practices.
• Influence strategic technology decisions through architectural leadership and risk-based recommendations.
• Present security architecture guidance and recommendations to leadership, governance committees, and project teams.

Requirements

• Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Engineering, or related field (preferred).
• Minimum 8 years of experience in cybersecurity, cloud security, security architecture, or related disciplines.
• Minimum 5 years of experience designing and securing Microsoft Azure environments.
• Demonstrated experience developing enterprise security architectures, standards, and governance frameworks.
• Minimum 8 years’ experience with:
  • Microsoft Azure
  • Cloud Security Architecture
  • Data Security and Data Governance
  • Risk Assessments
  • Security Policy Development
  • Security Reference Architectures
  • Identity & Access Management
  • Zero Trust Architecture
  • SaaS Security
  • AI / Generative AI Security Concepts
• Active CISSP or CISM certifications.

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.

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.