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- Tasks: Lead the design and delivery of cutting-edge data and AI solutions for top clients.
- Company: Join an innovative tech consultancy driving digital transformation across the UK.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and professional growth.
- Why this job: Be at the forefront of technology, influencing major decisions and shaping industry standards.
- Qualifications: Experience in data/AI technologies, cloud solutions, and leading multi-disciplinary teams required.
- Other info: Ideal for visionary technologists passionate about learning and community engagement.
The predicted salary is between 72000 - 108000 £ per year.
An innovative technology consultancy is seeking a Principal Data & AI Architect to drive the design, development, and delivery of modern data and AI solutions for high-profile clients across the UK. This is a strategic leadership position at the forefront of digital transformation, ideal for a visionary technologist who thrives in dynamic, client-facing environments.
As a senior authority in data and AI architecture, the successful candidate will shape technical direction, define solution strategies, and lead multi-disciplinary teams across complex digital programmes. This role demands a blend of deep technical acumen, thought leadership, and strong stakeholder engagement to influence decision-makers and deliver transformative outcomes.
Key Responsibilities:- Lead the architecture and delivery of innovative data and AI solutions across multiple client engagements.
- Act as a trusted advisor to C-level stakeholders, providing strategic direction on emerging technologies such as IoT, machine learning, event-driven architectures, and cognitive services.
- Design scalable, resilient systems using modern cloud platforms (AWS, Azure, or GCP), leveraging IaaS, PaaS, and SaaS solutions.
- Provide technical assurance and mentorship to agile delivery teams, ensuring architectural coherence and successful delivery.
- Guide other architects and engineers in their professional growth, managing capability development and fostering a culture of learning and inclusion.
- Champion best practices in cloud data platforms, data integration (e.g., messaging, queuing, CDC), and non-functional design principles.
- Collaborate closely with clients to understand business goals, ensuring technical designs are aligned with commercial and strategic priorities.
- Influence internal policies, technology standards, and account strategies, while keeping pace with industry innovation.
- Share insights through blogs, talks, or internal forums—helping shape the company’s presence in the data and AI space.
- A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning.
- Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applications—preferably across distributed systems.
- Proven ability to lead architecture for cloud-native solutions, using at least one major cloud provider (AWS, Azure, GCP).
- Experience integrating data using messaging systems, event streams, CDC techniques, or virtualisation approaches.
- Ability to communicate complex technical concepts to senior, non-technical stakeholders with confidence and clarity.
- Strong commercial awareness, with a track record of aligning technical decisions to business value.
- Effective time and priority management across multiple concurrent projects and deadlines.
- A collaborative leadership style with a focus on team wellbeing, psychological safety, and continuous development.
- Prior experience managing or mentoring team members, including setting objectives and delivering performance feedback.
- Passion for sharing knowledge and actively contributing to the wider data and AI community.
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Architect
✨Tip Number 1
Network with professionals in the data and AI field. Attend industry events, webinars, or meetups to connect with potential colleagues and clients. Building relationships can lead to valuable insights and opportunities that may not be advertised.
✨Tip Number 2
Showcase your thought leadership by sharing your insights on platforms like LinkedIn or relevant forums. Write articles or posts about emerging technologies and trends in data and AI. This will help you establish credibility and attract attention from recruiters.
✨Tip Number 3
Prepare for interviews by familiarising yourself with the latest cloud technologies and architectural patterns. Be ready to discuss specific projects where you've successfully implemented these solutions, as this will demonstrate your hands-on experience and strategic thinking.
✨Tip Number 4
Engage with the company’s online presence. Follow StudySmarter on social media and participate in discussions. This shows your interest in the company culture and values, making you a more appealing candidate when applying for the role.
We think you need these skills to ace Data & AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data and AI architecture. Focus on your leadership roles, technical skills, and any specific projects that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI technologies. Discuss how your vision aligns with the company's goals and provide examples of how you've successfully led similar projects.
Showcase Technical Acumen: When detailing your experience, emphasise your knowledge of cloud platforms (AWS, Azure, GCP) and your ability to design scalable systems. Use specific examples to demonstrate your expertise in emerging technologies.
Prepare for Stakeholder Engagement: Highlight your experience in communicating complex technical concepts to non-technical stakeholders. Prepare examples of how you've influenced decision-making and aligned technical solutions with business objectives.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Expertise
As a Data & AI Architect, it's crucial to demonstrate your deep understanding of modern data and AI technologies. Be prepared to discuss specific projects where you've designed and implemented solutions using cloud platforms like AWS, Azure, or GCP, and highlight your experience with messaging systems and event-driven architectures.
✨Engage with Stakeholders
This role involves acting as a trusted advisor to C-level stakeholders. Practice articulating complex technical concepts in a way that is clear and relatable to non-technical audiences. Prepare examples of how you've successfully influenced decision-makers in previous roles.
✨Demonstrate Leadership Skills
Highlight your experience in leading multi-disciplinary teams and mentoring other architects and engineers. Share specific instances where you've fostered a culture of learning and inclusion, and how you've managed capability development within your teams.
✨Align Technical Solutions with Business Goals
Be ready to discuss how you ensure that your technical designs align with commercial and strategic priorities. Provide examples of how you've balanced technical decisions with business value, showcasing your strong commercial awareness.
