IT Architect V - AI

At Williams, we’re powering a cleaner, more connected future, and that starts with you. Here, your work fuels communities, drives innovation, and helps deliver reliable energy the world depends on. Join a Fortune 500 team that invests in your growth, values your contributions, and challenges you to make a lasting impact every day. The IT Architect V is responsible for designing the structure of specific IT systems and supervising programs to ensure the architecture is properly implemented. This role will apply technical skills and work with internal/external business partners to create a vision and roadmap. This is a challenging position that will enable you to utilize your technical, problem solving, communication, and leadership skills. We appreciate a new perspective on solutions for our ever-evolving IT needs! Responsibilities/Expectations: Provides technical governance with the facilitation of the creation/modification of technical standards, models, application tiers, and reference architectures Leads technical consulting and collaborates with development teams to facilitate solution design and drive roadmap-aligned architecture enhancements and improvements Translates business requirements into repeatable design strategies, systems qualities and patterns Develops current and target state architecture blueprints with transition roadmaps and incremental architectural sequencing Researches, evaluates, and recommends technologies and standards aligned with current and future Williams strategies to maintain a competitive advantage Serves as a trusted advisor to IT and business leadership, focusing on technology enablement for business capabilities while fostering collaboration and alignment between technical teams and stakeholders Partners with cybersecurity, identity and access management, and data governance teams to ensure AI   architectures   comply with   security standards, privacy, regulatory requirements, and responsible AI principles (model risk, bias mitigation, human-in-the-loop oversight)   Defines reusable AI architecture patterns and reference implementations (e.g., retrieval-augmented generation, event-driven AI services, agent-based workflows, AI-assisted field operations) and drives adoption across product and project teams   Contributes to AI education and enablement by mentoring developers, analysts, and business stakeholders, helping them understand AI capabilities, constraints, and patterns for safe and effective use   Other duties as assigned Education/Years of Experience: Required: Bachelor’s degree in IT related field; a minimum ten (10) years’ developing software systems and IT experience Preferred: Minimum of twelve (12) years’ experience and prior oil/gas industry experience Shift/Work Hours/Travel Requirements: Less than 20% travel required, including the possibility for some international travel Other Requirements: P ossesses knowledge of business ecosystems, SaaS, IaaS, PaaS, SOA, APIs, microservices, event-driven architecture, and predictive analytics, with practical experience applying cloud-based AI, generative AI, data, and integration services in Azure, AWS, GCP, or equivalent platforms Demonstrates 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 Demonstrates proficiency in AI and generative AI architecture, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, model integration, and reusable enterprise AI solution patterns   Demonstrates proficient knowledge of architecture principles, frameworks, and standards, with experience designing and maintaining large-scale projects Exhibits strong analytical and data analysis capabilities, supported by excellent planning and organizational skills Possesses broad working knowledge of IT