AI Solutions Architect in London

AI Solutions Architect in London

London Full-Time 74295 - 90805 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and deliver innovative AI solutions that transform products and services.
  • Company: Join a leading tech firm at the forefront of AI advancements.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
  • Other info: Dynamic work environment with endless learning opportunities.
  • Why this job: Be part of a team shaping the future of AI technology.
  • Qualifications: Experience in AI architecture and a passion for tech innovation.

The predicted salary is between 74295 - 90805 £ per year.

AI Solutions Architect

About the Role

We are looking for an experienced

AI Solutions Architect to help design and deliver practical AI solutions across products, services and internal operations.

You will identify where AI can improve automation, productivity, knowledge management and customer services, then turn these opportunities into secure, scalable and commercially viable solutions

  • This is a hands‑on architecture role combining
  • AI, data, automation, security, governance and solution design

, with involvement in both customer‑facing projects and internal AI initiatives.

Key Responsibilities

  • Design secure and scalable
  • AI solutions and architectures
  • Help define the organisation's
  • AI strategy and roadmap
  • Identify opportunities to use AI to improve products, services and internal processes.
  • Develop repeatable
  • AI products, services and solution frameworks
  • Support the implementation of
  • Generative AI, AI assistants, agents and automation
  • Design solutions using
  • LLMs, Retrieval Augmented Generation (RAG), enterprise search and knowledge systems
  • Build appropriate AI governance around security, privacy, data protection, risk and compliance
  • Create reference architectures, implementation guides and reusable delivery patterns.
  • Work with Product, Engineering, Security, Architecture, Operations and Commercial teams.
  • Support customer workshops, solution design, proposals and technical pre‑sales activity.
  • Help move AI solutions from initial concept and pilot through to production and ongoing support
  • Keep up to date with developments in AI technologies, governance and industry best practices.
  • Key Skills
  • AI & Automation
  • Generative AI and Large Language Models (LLMs)
  • AI agents, assistants and conversational AI
  • Retrieval Augmented Generation (RAG)
  • Enterprise search and knowledge management
  • AI workflow automation and orchestration
  • Responsible AI and AI governance
  • Architecture & Integration
  • Solution, platform or enterprise architecture
  • APIs and system integration
  • Cloud and enterprise technology environments
  • Scalable and resilient solution design
  • Monitoring and observability
  • Data
  • Data architecture and governance
  • Structured and unstructured data
  • Document processing and information retrieval
  • Data security, classification and lifecycle management
  • Security & Governance
  • Security architecture
  • Identity and access management
  • Data protection and privacy
  • AI risk management and governance
  • Compliance, logging, monitoring and auditability
  • Engineering & Delivery
  • Modern software and engineering practices
  • Automation and orchestration
  • Testing and validation
  • Release and deployment processes
  • Operational readiness and service transition experience
  • Designing and delivering enterprise‑scale AI, data, automation or technology solutions
  • Working as a
  • Solutions Architect, AI Architect, Enterprise Architect or Technical Consultant
  • Translating business requirements into technical solutions and roadmaps.
  • Creating reference architectures and reusable solution patterns
  • Working closely with security, governance and engineering teams.
  • Supporting customer‑facing workshops, proposals or pre‑sales activities.
  • Taking technology solutions from proof of concept through to production
  • Developing or packaging reusable technology or AI offerings.

Qualifications

  • Relevant certifications in the following areas would be beneficial but are not essential:
  • Architecture or enterprise architecture
  • AI / Machine Learning
  • Cloud or data
  • Security and governance
  • Service management
  • Responsible AI or data protection
  • Equivalent practical experience will also be considered.
  • In simple terms

Job Title

AI Solutions Architect

Location

London, UK

Job Type

Permanent

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No.

Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003.

TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group").

Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands.

If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice.

We store personal data in the UK, EEA, Switzerland and the USA.

If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at for details on how to contact us.

To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request.

If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.

Privacy Shield or the Swiss-U.

Privacy Shield.

AI Solutions Architect in London employer: Teksystems

As an Azure Solution Architect with us, you'll thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities to enhance your skills in cloud technologies, all while working in a vibrant location that fosters creativity and teamwork. Join us to be part of a forward-thinking company that values your contributions and supports your career growth.

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Contact Details:

Teksystems Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions Architect in London

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Teksystems or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Teksystems.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Teksystems.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Teksystems that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Solutions Architect in London

AI Solutions Architecture
Generative AI
Large Language Models (LLMs)
Retrieval Augmented Generation (RAG)
AI Governance
Data Architecture and Governance
Security Architecture

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Teksystems.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Teksystems and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Teksystems

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Teksystems uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.