AI - Solutions Architect

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Pearls will not ask you for money, or for sensitive information such as bank account numbers or social security numbers in our interviewing and hiring process.

Location: London

Company Overview:

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Pearls 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, 10

Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10

Pearls' 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. 10

Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia, with its London office based in Paddington. To learn more, visit

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. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals and play a leading role in growing our AI practice from our Paddington, London office.

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, Tensor Flow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud‑native design).
• AI & Data Platform Architecture /…