At a Glance
- Tasks: Design and deliver cutting-edge AI solutions for diverse clients across various industries.
- Company: Join 10Pearls, a global leader in AI-native digital engineering.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborate with a global team of over 1,300 professionals in a dynamic environment.
- Why this job: Be at the forefront of AI innovation and make a real impact on transformative projects.
- Qualifications: 7-10 years in solution architecture with strong AI/ML expertise.
The predicted salary is between 70000 - 90000 £ per year.
Company Overview
10Pearls is a global, purpose-driven AI-native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high-growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia, with its London office based in Paddington.
Job Overview
We are seeking an experienced AI Solutions Architect to design, deliver, and help sell cutting-edge artificial intelligence solutions for our clients across a wide range of industries. This is a client-facing role that spans the full engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined with the consulting skills to lead workshops, influence stakeholders at all levels, and translate business needs into production-grade solutions.
Responsibilities
- Client & Stakeholder Engagement: Serve as a trusted technical advisor throughout client engagements. Lead architecture reviews, technical presentations, and proof-of-concept efforts for internal and external stakeholders. Articulate solution value and translate business needs into scalable, AI-driven architectures, ensuring alignment across technical and non-technical audiences.
- Pre-Sales & Business Development: Partner with sales and business development to qualify opportunities and win new work. Contribute to RFP/RFI responses, scope and estimate engagements (effort, cost, and timeline), and help shape proposals and statements of work. Design and deliver compelling demos and proof-of-concepts that demonstrate feasibility and value, applying commercial awareness of deal economics alongside technical fit.
- Workshop Facilitation & Enablement: Design and facilitate client-facing workshops, including discovery, use-case ideation, AI-readiness and maturity assessment, solution design, and enablement sessions. Run interactive sessions that draw requirements out of mixed technical and non-technical audiences and drive toward clearly defined outcomes. Upskill client and internal teams on AI concepts and best practices.
- Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design).
- AI & Data Platform Architecture / Deployment: Architect robust, secure AI and data platforms that support real-time inference, batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability, and security controls into the architecture.
- Strategic AI Leadership: Act as a technical advisor and thought leader on AI strategy and innovation across the organization and with clients. Define standards and frameworks for AI development and operations, contribute to the long-term roadmap, and mentor technical teams on AI best practices. Demonstrate thought leadership through internal knowledge-sharing and, where applicable, public engagements or open-source contributions.
- Technology Evaluation & Innovation: Stay at the forefront of AI innovation, evaluating new tools, frameworks, and methodologies for business impact. Provide clear, evidence-based recommendations that drive innovation while maintaining alignment with enterprise architecture and operational readiness. Translate rapidly evolving GenAI trends into practical, production-grade solutions.
- Cross-Functional Collaboration: Partner with data scientists, software engineers, product managers, and business leaders to define technical requirements and deliver value-driven solutions, facilitating clear and actionable communication of complex AI concepts.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
- 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML.
- Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision.
- Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring.
- Demonstrable client-facing consulting experience, including pre-sales support (scoping, estimation, proposals/SOWs, demos, or POCs).
- Experience designing and facilitating client workshops for mixed technical and non-technical audiences.
- Strong communicator with the ability to influence both executive and technical stakeholders, and commercial awareness of engagement economics.
- Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline.
- Experience working within global delivery teams or a consulting/professional-services environment.
- Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate.
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 10Pearls, LLC 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 10Pearls, LLC.
✨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 10Pearls, LLC.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace AI - Solutions Architect in London
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 10Pearls, LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 10Pearls, LLC 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 10Pearls, LLC
✨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 10Pearls, LLC 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.
