Enterprise Architect

Knutsford
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Enterprise AI Solution Architect: Generative AI & MLOps

Join Barclays as an Enterprise Solution Architect, where you’ll be responsible for shaping and delivering cutting-edge technology solutions that drive the transformation of our heritage estate into a modern, industry-standard technology environment.

To be successful as an Enterprise Solution Architect, you should have:

Extensive experience architecting and engineering within multi-channel environments, including Web, Mobile, and API channels.

Deep knowledge of industry-standard trends and patterns across various industries, problem scenarios, and requirements.

Expertise in Web and Mobile technologies, practices, frameworks/languages, and toolsets.

In-depth understanding of IAM & API technologies, security practices, testing, data management, and tooling.

Familiarity with advancements in GenAI and proactive AIOps technologies.

Key Technologies: AWS, Azure, GCP, Docker, Java, Springboot, Kafka, React & React Native, REST, GraphQL, OAuth/OIDC, Openshift, Terraform, GitLab.

Some other highly valued skills may include:

Domain-Driven Design & Modular Architecture:

Proficiency in frameworks like TOGAF/Zachman for governing enterprise-level technology change.

Experience positioning enterprise architecture roles within agile environments.

Understanding of the regulated financial services environment, including retail banking and payments.

You may be assessed on key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills.

This role is based in Northampton.

Purpose of the role

To develop, and evolve the banks technology architecture through relevant solutions, strategies and execution plans aligned to and prioritized by business and technology objectives, including the development, evolution and adoption of foundational platforms and products. 

Accountabilities

Development, evolution and implementation of the banks technology architecture and strategies aligned to the business and technology objectives, unlocking execution and run.

Collaboration with stakeholders, including Enterprise Architecture teams and other developers to provide subject matter expertise and share knowledge to foster continuous improvement, and clients to understand and deliver on their technical needs.

Motivation and leadership of a diverse collection of technologists, business and operations teams and enterprise leaders, with goal to align business & technology strategy & standards, identifying opportunities and connecting people.

Assessment of new technologies to address current and future business needs, through a combination of curiosity and problem-solving skills.

Determination of the optimal solutions while balancing continuous requirements imposed by compliance, governance, security and funding, through deep understanding of the business and customer outcomes and maintaining a strong and steady grasp on the underlying technologies.

Monitoring and analysis of the performance, resiliency and stability of applications to identify and resolve issues and communicate and document key findings to stakeholders.

Compliance with applicable regulatory standards and identification of industry developments that may impact the banks operations and controls to enhance the banks application portfolio.

Support of engineering and architecture community initiatives to mentor team members, streamline operations, share and grow knowledge.

Vice President Expectations

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..

If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..

If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..

OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..

Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.

Manage and mitigate risks through assessment, in support of the control and governance agenda.

Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.

Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.

Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.

Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.

Adopt and include the outcomes of extensive research in problem solving processes.

Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.