Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team

Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team

This role is within the UK organisation and you will be working with Enterprise Energy and other large industrial customers, helping them modernise their technology estates and harness the power of data and AI to drive business transformation.

Solutions Architects work hand in hand with AWS customers to help them achieve real business outcomes through cloud adoption. They are at the crossroads of business and technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices.

Our Senior Solutions Architects are expected to build broad, well‑architected solutions across the full AWS portfolio, including compute, networking, storage, security, application modernisation, and Dev Ops, while bringing particular depth in data and AI. You will own the overall technical relationship between customers and AWS, making recommendations on security, cost optimisation, performance, reliability, and operational efficiency. A strong understanding of modern data architectures, analytics, machine learning, and generative AI is essential, as these capabilities are increasingly central to the outcomes our Energy and Industrial customers are pursuing.

They work to understand the customer’s business needs and give prescriptive guidance on how to create business value with technology, whether that’s migrating workloads, re‑architecting applications, building data platforms, or deploying AI‑powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem.

In this role you will practice creativity, link technology to tangible solutions and educate AWS customers about the art of the possible. You will have the opportunity to define or invent cloud‑native reference architectures for a variety of use cases, with a particular emphasis on data‑driven and AI‑enabled solutions such as predictive maintenance, demand forecasting, operational optimisation, and intelligent automation.

You will have the support to grow your expertise in industry and technology areas of depth. Every day you will learn something new from your customers, peers, and your own experiments.

• Work directly with customers to accelerate their projects and recommend best‑practice architectures in line with their long‑term business outcomes, spanning infrastructure, application modernisation, data, and AI/ML.
• Own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide.
• Design solutions across the breadth of AWS services, with the ability to go deep on data and AI workloads when customer needs demand it.
• Share the voice of the customer to influence the roadmap of new features and services for the AWS platform.
• Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts), with a focus on data and AI patterns relevant to energy and industrial sectors.
• Evangelise and educate about AWS technology (e.g., workshops, user groups, meetups, public speaking, or conferences).
• Contribute to the growth of the Solutions Architecture organisation by interviewing candidates and having a voice in hiring decisions.
• Mentor team members and help others develop new skills.
• Develop areas of depth in technical domains relevant to your interests and your customers’ outcomes, with Data and AI as priority areas for this role.

• Bachelor’s degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military.
• Experience in IT development or implementation/consulting in the software or Internet industries.
• Experience with in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• Experience in design, implementation, or consulting in applications and infrastructures.
• Experience communicating across technical and non‑technical audiences, including executive level stakeholders or clients.
• Experience in infrastructure architecture, database architecture and networking.
• Experience working with end user or developer communities.

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