At a Glance
- Tasks: Lead the design and implementation of innovative AI solutions across a global business.
- Company: Peregrine builds meaningful partnerships, delivering flexible solutions for diverse resourcing needs.
- Benefits: Enjoy a permanent position with life assurance, annual bonuses, and generous leave policies.
- Why this job: Join a culture that embraces fresh ideas and values diversity while making a social impact.
- Qualifications: 8+ years in IT with expertise in AI solutions; degree in a related field required.
- Other info: Hands-on experience with cloud platforms like Google Cloud is highly desirable.
The predicted salary is between 48000 - 72000 £ per year.
At Peregrine, we are constantly seeking Specialist Talent that offers 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.
How Specialist Talent Works At Peregrine:
- 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 are 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 are 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.
Solutions Architect (AI) employer: Peregrine
Contact Detail:
Peregrine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (AI)
✨Tip Number 1
Network with professionals in the AI field, especially those who have experience as Solutions Architects. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends in AI solutions.
✨Tip Number 2
Showcase your hands-on experience with cloud-based AI platforms like Google Cloud Platform. If you have worked on projects using Vertex AI or BigQuery, be prepared to discuss these in detail during interviews to demonstrate your technical expertise.
✨Tip Number 3
Familiarise yourself with the specific architectural patterns and best practices mentioned in the job description. Being able to articulate how you've applied these in past projects will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your leadership and mentoring experiences. Highlight instances where you've guided teams through complex AI projects, as this role requires strong technical leadership and the ability to influence others.
We think you need these skills to ace Solutions Architect (AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI solutions architecture. Focus on your hands-on experience with machine learning, generative AI, and cloud platforms like Google Cloud or Azure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role at Peregrine. Mention specific projects where you've successfully implemented AI solutions and the impact they had.
Showcase Technical Expertise: Clearly outline your technical skills related to AI/ML architectural patterns, MLOps, and CI/CD processes. Use examples to demonstrate your problem-solving abilities and strategic thinking.
Highlight Leadership Experience: Since the role involves guiding development teams, emphasise any leadership or mentoring roles you've held. Discuss how you've influenced technical standards and fostered collaboration among teams.
How to prepare for a job interview at Peregrine
✨Showcase Your Technical Expertise
As an AI Solutions Architect, it's crucial to demonstrate your deep understanding of AI/ML architectural patterns and best practices. Be prepared to discuss specific projects where you've successfully implemented complex AI solutions, highlighting your hands-on experience with machine learning and generative AI.
✨Communicate Clearly and Confidently
You’ll need to articulate complex AI concepts to a diverse audience. Practice explaining your past projects and technical strategies in a way that is accessible to both technical and non-technical stakeholders. This will showcase your communication skills and ability to bridge the gap between technology and business.
✨Demonstrate Strategic Thinking
Prepare to discuss how you translate high-level business objectives into scalable technical visions. Think of examples where your strategic thinking led to successful outcomes, and be ready to explain your thought process during the interview.
✨Highlight Leadership and Mentoring Experience
Since this role involves guiding and influencing development teams, share your experiences in leadership and mentoring. Discuss how you've set high standards for technical excellence and helped others grow in their roles, as this will resonate well with the interviewers.