Solutions Architect (AI)

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