Description

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 DevOps, 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 get to practice your creativity, linking technology to tangible solutions and educating 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, your peers, and your own experiments.

At Amazon you will be encouraged and rewarded for doing what is right for the long-term success of the customer. We value your passion to discover, invent, and build on behalf of customers.

Amazon has always been, and always will be, committed to diversity and inclusion. We seek builders from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.


Key job responsibilities
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.