At a Glance
- Tasks: Lead workshops, design AI solutions, and collaborate with teams to deliver impactful projects.
- Company: Dynamic tech firm focused on innovative AI solutions in manufacturing.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting role with potential for travel and collaboration in a vibrant team.
- Why this job: Be at the forefront of AI innovation and make a real difference in customer operations.
- Qualifications: Experience in solution architecture and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
The AI Solutions Architect is a senior, customer-facing role at the front of our delivery motion.
You are the person who sits with a customer, leads an agentic workshop on their core manufacturing processes, designs what an agent can and should do, and architects the solution.
This is not a slideware role, nor is it a hand-off role.
You own the solution end-to-end—from the first workshop through to a live, adopted production deployment—designing it, prototyping it, building it collaboratively with our offshore FDE team, and standing next to it at go-live.
This role is based in the UK, ideally within commuting distance to London for collaboration and traveling to customer sites.
Candidates must not require sponsorship.
Key Responsibilities
- Run
- Agentic
- Process
Workshops: Lead structured workshops with customer process owners across core manufacturing value chains (Procure-to-Pay, Order-to-Cash, Source-to-Contract, and Plan-to-Manufacture).
Separate standard habits from true human-in-the-loop requirements and identify decision points an agent can own.
- Adapt Requirements into
- Agentic
Flows: Turn messy spreadsheets, email threads, and tribal knowledge into structured agentic flows.
Determine what the standard Persona Agent covers versus what needs custom engineering, and produce defensible work estimates up front.
- Architect
- Integrated
Solutions: Own the technical design of the deployment, including integration across ERP systems (QAD and non-QAD), PLM, EDI, email, and sourcing tools (e. g., Ariba, Coupa).
Perform light prototyping on-site to de-risk complex elements quickly.
- Build End-to-End with the FDE Team: Stay embedded with the offshore FDE engineering team through the entire build phase.
Pair on hard technical problems, resolve ambiguity, adjust designs live, and maintain strong customer relationships through go-live.
- Drive Go-Live & Continuous
Feedback: Run UAT against pre-defined evaluation metrics, measure the attributed value delta post-launch, and capture reusable components/accelerators to speed up future customer builds.
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AI Solutions Architect employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Architect
✨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 Doist 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 Doist.
✨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 Doist.
✨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 Doist 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
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 Doist.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doist 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 Doist
✨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 Doist 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.
