Data & AI Architect

JR United Kingdom; City Of London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading technology consultancy is searching for a Principal Data & AI Architect to spearhead innovative data and AI solutions for high-profile clients. This senior position involves technical leadership, strategic direction, and engagement with C-level stakeholders, requiring expertise in modern cloud platforms and a collaborative leadership style.

Qualifications

• Experience leading architecture for cloud-native solutions (AWS, Azure, GCP).
• Broad understanding of modern data/AI technologies.
• Experience designing enterprise-scale, data-intensive applications.

Responsibilities

• Lead the architecture and delivery of data and AI solutions.
• Act as a trusted advisor to C-level stakeholders.
• Guide architects and engineers in professional growth.

Skills

Cloud Platforms

Data Architecture

AI Technologies

Stakeholder Engagement

Leadership

Data Integration

Education

Relevant IT or Computer Science Degree

Job description

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Data & AI Architect, london (city of london)

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Client:

Anson McCade

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

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.

Required experience:

• 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.