IT Architect V – AI

Williams & Williams

. Design the structure of specific IT systems and supervise programs to ensure proper architecture implementation .

Posted 9/16/2026full-timeTulsa • Oklahoma • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI architectures, including generative AI and cloud-based solutions, while ensuring compliance with governance and security standards. Proven ability to lead technical consulting efforts and foster collaboration among diverse teams to drive technology enablement and strategic alignment.

Highest-signal resume keywords

AI Architecture DesignCloud-Based AI SolutionsTechnical GovernanceStakeholder EngagementData Privacy Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI Governance PrinciplesArchitecture FrameworksPredictive AnalyticsMicroservicesEvent-Driven ArchitectureSaaSIaaSPaaSData Integration Services

Soft Skills

Effective LeadershipAnalytical CapabilitiesOrganizational SkillsTeamworkNegotiation

Tools & Technologies

AzureAWSGCPData CentersNetworking StandardsSecurity Standards

Industry Keywords

Oil and Gas Industry ExperienceAI Solution EvaluationHuman-in-the-Loop OversightModel Risk ManagementBias Mitigation

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud PlatformMicroservices

About the role

Key responsibilities & impact

Design the structure of specific IT systems and supervise programs to ensure proper architecture implementation
Apply technical skills and collaborate with internal and external business partners to create vision and roadmap
Provide technical governance through creation or modification of technical standards, models, application tiers, and reference architectures
Lead technical consulting and collaborate with development teams on solution design and roadmap-aligned architecture enhancements
Translate business requirements into repeatable design strategies, system qualities, and patterns
Develop current-state and target-state architecture blueprints with transition roadmaps and incremental sequencing
Research, evaluate, and recommend technologies and standards aligned with Williams strategies
Advise IT and business leadership on technology enablement for business capabilities
Foster collaboration and alignment between technical teams and stakeholders
Partner with cybersecurity, identity and access management, and data governance teams on secure, private, compliant, and responsible AI architectures
Define reusable AI architecture patterns and reference implementations, including RAG, event-driven AI services, agent-based workflows, and AI-assisted field operations
Drive adoption of AI architecture patterns across product and project teams
Mentor developers, analysts, and business stakeholders on AI capabilities, constraints, and safe-use patterns
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree in an IT-related field
Minimum ten (10) years’ experience developing software systems and in IT
Preferred: minimum twelve (12) years’ experience
Preferred: prior oil/gas industry experience
Less than 20% travel required, including possible international travel
Knowledge of business ecosystems, SaaS, IaaS, PaaS, SOA, APIs, microservices, event-driven architecture, and predictive analytics
Practical experience applying cloud-based AI, generative AI, data, and integration services in Azure, AWS, GCP, or equivalent platforms
Understanding of AI governance and responsible AI principles, including data privacy, regulatory considerations, security and access control, model risk, bias mitigation, explainability, human-in-the-loop oversight, and AI solution evaluation and monitoring
Proficiency in AI and generative AI architecture, including LLMs, RAG, AI agents, model integration, and reusable enterprise AI solution patterns
Proficient knowledge of architecture principles, frameworks, and standards
Experience designing and maintaining large-scale projects
Strong analytical and data analysis capabilities
Excellent planning and organizational skills
Broad working knowledge of infrastructure and operations, data centers, databases, networking, and security standards
Effective leadership and consulting skills
Strong interpersonal capabilities, including teamwork, facilitation, negotiation, targeted communication, stakeholder engagement, and internal partner management
Awareness of existing, emerging, and new technologies
Proficient knowledge of scripting concepts and how scripts operate

Benefits

Comp & perks

Strong pay plus an annual incentive program
Hybrid work for most office roles, plus real flexibility in many field positions
Medical, dental, and vision coverage
401(k) with company match and an annual company contribution
Paid time off, including company and floating holidays
Paid parental leave (up to six weeks per parent)
Fertility and adoption support
Advanced AI tools and resources
Career growth paths and promotion-from-within culture
Tuition reimbursement and continuing education support
HSA and FSA options
Company-paid life insurance and disability coverage
Employee stock purchase plan
Domestic partner benefits
Employee resource groups
Wellness support
Paid volunteer time
Company matching for charitable causes