At a Glance
- Tasks: Design and deliver innovative AI solutions for major UK clients using cutting-edge technologies.
- Company: Join a leading professional services and technology consulting organisation with a focus on AI.
- Benefits: Enjoy a competitive salary, comprehensive benefits, hybrid work, and bonus opportunities.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact by solving complex business challenges with advanced AI solutions.
- Qualifications: Experience in enterprise AI solutions and strong technical skills in Generative AI and cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
We're partnering with one of the world's leading professional services and technology consulting organisations as they continue to invest heavily in their AI capability.
As part of this growth, they are looking to hire an experienced AI Solution Architect to help design and deliver enterprise-scale AI solutions that solve complex business challenges.
This is an opportunity to work with some of the UK's largest organisations, helping clients shape and implement cutting-edge Generative AI and Agentic AI solutions from initial strategy through to production deployment.
You'll bring strong hands-on experience designing modern AI architectures across leading cloud platforms, alongside the ability to engage with both technical and business stakeholders.
Whether advising on architecture, leading solution design workshops or supporting complex client engagements, you'll play a key role in delivering AI solutions that provide real business value.
This is a permanent role that can be worked out of any of our clients UK sites on a hybrid (3 day per week basis) & offers a very comprehensive benefits package & bonus.
What You'll Do
- Design and architect enterprise AI solutions using Generative AI and Agentic AI technologies.
- Work with clients to understand business challenges and translate them into scalable AI solutions.
- Lead technical discovery workshops, solution design sessions and architecture discussions.
- Build and support AI prototypes and guide solutions through to production deployment.
- Advise on AI architecture, model selection, RAG, agent orchestration, security, governance and operational best practices.
- Support client proposals, RFP responses and technical pre-sales activities.
- Collaborate with engineering teams to ensure solutions are scalable, secure and production-ready.
Experience Needed
- Proven experience designing and delivering enterprise AI solutions in commercial environments.
- Strong hands-on experience with Generative AI, LLMs, Agentic AI, AI agents and agent orchestration.
- Experience delivering production-ready AI solutions, including deployment, governance, guardrails and operational considerations.
- Practical experience with Azure Open AI, Azure AI Foundry/Studio, AWS Bedrock, Sage Maker, Google Vertex AI and/or Open AI APIs.
- Strong understanding of RAG, embeddings, vector databases, model selection and AI architecture.
- Experience working with enterprise clients, leading technical workshops and presenting solutions to both technical and non-technical stakeholders.
- Exposure to consulting, solution shaping, technical pre-sales, RFPs or proposal development is highly desirable.
- Experience across enterprise sectors such as Financial Services, Telecommunications or other large-scale regulated industries is advantageous.
Lancaster Resources Ltd is operating as an employment agency for this opportunity.
Applications will be considered fairly and objectively, based on relevant skills, experience and suitability for the position.
By submitting your application, you agree to the use of your personal data in line with our Privacy Policy and applicable data protection legislation.
We are committed to equality of opportunity and do not discriminate on the grounds of age, gender, disability, race, religion or belief, sexual orientation, or any other protected characteristic.
Should you require any reasonable adjustments at any stage of the recruitment process, please inform us.
AI Solution Architect (Agentic AI) in England employer: Lancaster Resources
Join a dynamic technology-led consulting business in Manchester, where innovation meets opportunity. As a Product Marketing Director, you'll thrive in a supportive work culture that prioritises employee growth and offers clear pathways to leadership roles, including the potential to become Chief Marketing Officer. Enjoy the benefits of a hybrid working model, a collaborative environment, and the chance to lead transformative marketing initiatives in an exciting phase of company evolution.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect (Agentic AI) in England
✨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 Lancaster Resources 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 Lancaster Resources.
✨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 Lancaster Resources.
✨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 Lancaster Resources 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 Solution Architect (Agentic AI) in England
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 Lancaster Resources.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lancaster Resources 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 Lancaster Resources
✨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 Lancaster Resources 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.
