Director, Energy Solutions Architecture, AWS Industries

Key job responsibilities

• Define and execute the AI and generative AI technical strategy for energy customers, guiding your team to architect solutions that apply machine learning, agentic AI, and foundation models to industry challenges such as predictive maintenance, grid optimization, demand forecasting, and autonomous operations.
• Identify, develop, and realize business opportunities to generate customer value and AWS revenue.
• Lead, develop, and grow a team of SAs, coaching them on solution design, customer engagement, and thought leadership while fostering a culture of collaboration and inclusion.
• Serve as a strategic technical advisor to energy industry executives (CIO, CTO, VP Engineering), building trusted relationships and influencing enterprise-wide cloud adoption decisions.
• Represent AWS as a recognized energy industry thought leader at conferences, executive briefings, and industry forums, shaping how the market perceives cloud's role in energy transformation.
• Partner with AWS service teams, business development, and professional services leadership to identify cross-customer patterns, influence product roadmaps, and create scalable mechanisms that accelerate customer outcomes.

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field or 16+ years of equivalent professional experience in solutions architecture or technical consulting
• 15+ years of experience in solutions architecture, enterprise architecture, or equivalent technical leadership roles
• 10+ years of experience leading and developing large teams of senior technical professionals
• Demonstrated experience designing and delivering cloud-based solutions for enterprise customers in the energy sector or similarly complex regulated industries
• Deep technical knowledge of the Generative AI principles and AI landscape, as well as AWS services
• Track record of serving as a strategic technical advisor to C-level executives and influencing enterprise technology decisions at scale
• 5+ years of experience defining or delivering AI/ML strategies, solutions, or programs for enterprise customers, including leadership of teams building or deploying machine learning, data analytics, or generative AI solutions at scale

Preferred Qualifications

• Advanced degree (MBA, MS, or PhD) in a technical or business discipline
• Deep familiarity with energy industry challenges including grid modernization, operational technology convergence, sustainability initiatives, and regulatory compliance
• History of creating scalable thought leadership programs, reference architectures, or technical content strategies that drive industry-wide adoption