National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Solutions Architect (AI)

Crawley
1 week ago
Create job alert

At Peregrine, we’re constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private sector – we are always in search of the best talent to place, now.  

How Specialist Talent Works

At Peregrine, we find the best talent for our clients. Unlike traditional contractors, where you are hired by the client, you remain a permanent employee of Peregrine, with access to all our standard benefits:

A Permanent Position

Life Assurance

5% annual bonus

Pension Scheme – Employer matched to 5%

Voluntary Benefits – Health Cash Plan, Dental, Will Writing etc

Annual Leave – 23 days rising to 27 with length of service

Sick Pay – Increasing with length of service

The Role: AI Solutions Architect

Role

This is a key leadership role within the Group AI team, responsible for providing the technical vision and architectural design for cutting-edge AI solutions across the global business. The AI Solution Architect will act as a bridge between strategic AI initiatives and technical implementation, ensuring all solutions encompassing machine learning, agentic systems, and generative AI are robust, scalable, and secure. This role is pivotal in establishing architectural patterns for the AI domain, guiding development teams on complex projects, and ensuring seamless integration into existing technology ecosystem.

Tasks and Responsibilities

AI Solution Design & Architecture

Stakeholder Management

Technical Leadership & Best Practice

Technology Evaluation & Selection

Integration and Deployment

Architecture Governance

Vendor Management

Documentation

Experience:

8+ years in IT, proven experience designing and implementing complex, enterprise-grade AI solutions. Candidate must demonstrate end-to-end lifecycle leadership (concept to iteration) and success in productionizing AI or Data-based projects for tangible business outcomes

Deep, hands-on understanding of machine learning, agentic systems, and generative AI. Practical knowledge of the AI landscape: architectural trade-offs (e.g., fine-tuned vs. RAG), mitigating hallucination, and technology selection for specific use cases.

Proven ability to define technical vision and strategy for new technology initiatives. Shape plans, create reusable architectural patterns and frameworks for other teams, establish technical standards, and guide towards a cohesive, modern AI technology stack.

Experience in a decentralized, multi-national organisation is a significant advantage. Navigate regional data maturities, legal/regulatory landscapes, and drive technical change through influence.

Experience with cloud-based AI platforms and services (e.g., Google Cloud Platform, Azure) is highly desirable. Hands-on GCP experience (Vertex AI, BigQuery, Cloud Run) is exceptionally valuable, aligning with our Google-centric strategy. Familiarity with other major clouds demonstrates broad architectural understanding.

Knowledge & skills:

Technical Expertise: Mastery of AI/ML architectural patterns and best practices , with a solid understanding of MLOps, CI/CD, and data pipeline integration.

Strategic Thinking: Ability to translate high-level business objectives into a robust and scalable technical vision.

Leadership & Mentoring: Strong ability to guide, influence, and upskill development teams, setting high standards for technical excellence.

 Communication & Collaboration: Exceptional ability to articulate complex AI concepts to diverse audiences, from engineers to senior business leaders.

Problem Solving: Proactive identification and resolution of complex technical challenges, including issues of scalability, security, and data integrity.

Business Acumen: A strong understanding of commercial drivers and the ability to design AI solutions that deliver measurable ROI.

Relevant Qualifications

Degree in Computer Science, Engineering, Mathematics, or a related numerate field.

Professional certifications such as Google Cloud Professional Machine

Learning Engineer or Cloud Architect are highly desirable.

If you are an experienced AI Solutions Architect and feel you have the desired skills and experience which would enable you to hit the ground running, please apply to find out more information about this exciting opportunity.

About us: 

At Peregrine, we see beyond the immediate and look to the horizon. We build lasting, meaningful partnerships with our clients, and deliver flexible solutions for every resourcing need, both now and in the future. Together, we help our clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. 

Our culture: 

At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and we’re always ready to help each other out. And we believe that our work can benefit society – whether it’s finding the digital talent of the future or being a driver for social mobility. 

Our commitment to diversity:  

At Peregrine, we’re proudly committed to championing diversity and inclusion, with company-wide initiatives to drive greater social mobility and reduce our environmental impact. Our teams represent a huge breadth of cultures, languages, and ethnicities, and over 20 different nationalities. We also employ candidates from a range of educational and socioeconomic backgrounds. Our partnerships with numerous charities ensure that we can stay well-informed and continue to improve our practices for the future. It reflects in the way we recruit for our clients as we assist them in becoming more diverse

Related Jobs

View all jobs

Solutions Architect

Solutions Architect (AI)

Solutions Architect (Data Analytics)

Solutions Architect (Data Analytics)- Presales, RFP creation

Solutions Architect (Data Analytics)

Solutions Architect (Data Analytics) (Basé à London)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.