AI Solution Architect

Version 1 has celebrated over 29 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

As an AI Solution Architect, you’ll work with our government, financial services, and private sector clients to design and deliver AI solutions that solve real business problems. You’ll bring together AI capabilities, sound solution design, and practical engineering experience to create production‑grade systems that deliver measurable value. Your work sits at the intersection of software engineering and AI, focusing on building scalable, secure systems that consume and orchestrate AI services rather than training foundation models from scratch.

You’ll establish architecture patterns and standards that accelerate AI adoption across our client base, embedding governance frameworks and security controls into solution designs from the outset. Whether that’s evaluating the right AI platform for a client’s use case, designing data pipelines to support model deployment, or presenting your solution approach to an architectural review board, you’ll bring both hands‑on AI engineering experience and sound architectural judgement to every engagement.

Your background in solution architecture and building digital services means you understand how enterprise systems work in practice — and you’ve applied that foundation to designing and delivering AI‑powered solutions at scale. You know how to move from experimentation to production — designing integration patterns for AI services, building reliable pipelines, and ensuring solutions meet the non‑functional requirements that enterprise clients demand around performance, security, and compliance.

You’ll bring systems thinking that connects AI architectural decisions to broader service and business contexts, combined with a strong understanding of responsible AI principles including bias mitigation, transparency, and appropriate human oversight. You collaborate effectively with diverse teams including data scientists, software engineers, product managers, and senior business stakeholders, translating complex AI concepts into language that supports informed decision‑making at all levels.

As part of our central architecture team, you’ll work alongside experienced Technology Principals and Solution Architects who share your drive to solve complex challenges. This gives you a strong support network to collaborate with, learn from different perspectives, and tackle problems together. AI is moving fast, and we recognise that staying current matters — you’ll contribute to and shape our AI architectural approaches, share knowledge through internal sessions and technical documentation, and help build reference architectures that the wider organisation can draw on.

Your expertise helps our clients adopt AI with confidence, building solutions that are not only technically sound but deliver meaningful outcomes for the people who use them.

Essential Requirements

• AI solution architecture — you have demonstrated experience designing and delivering AI-powered solutions at enterprise scale.
• Technical depth across cloud platforms — you have strong hands‑on experience with cloud services and platforms, particularly across Microsoft Azure and AWS ecosystems.
• Security, governance, and responsible AI — you understand the security, data protection, and compliance considerations specific to AI implementations.
• Stakeholder engagement and communication — you have experience working directly with clients and senior stakeholders to understand problems, shape AI solution approaches, and build consensus.

Highly Desirable

• Large organisation delivery experience — you have delivered AI solutions for government departments, major financial institutions, or large private sector organisations.
• Data architecture and pipeline design — experience designing data pipelines, model deployment strategies, and working with data platforms.
• Architecture community and thought leadership — active participation in AI and architecture communities, staying current with rapidly evolving AI technologies.

Technologies and Platforms

• Cloud AI services: Azure OpenAI Service, Azure AI Services, Azure Machine Learning, AWS Bedrock, AWS SageMaker, AWS Lambda, API Gateway.
• Data platforms: Microsoft Fabric, Databricks, Snowflake, Azure Data Factory.
• AI development and tooling: Copilot Studio, Power Platform, Cursor, GitHub Copilot.
• Infrastructure and DevOps: Azure DevOps, GitHub Actions, Terraform, containerisation.
• AI patterns: RAG architectures, agentic workflows, multi‑agent orchestration, tool use patterns, human‑in‑the‑loop design.

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well‑being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech‑related benefits, including an innovative Tech Scheme to help keep our team members up‑to‑date with the latest technology.