Senior Manager, AI Architect

Responsibilities

We are representing a global consulting organization that supports leaders across multiple industries in their data and AI transformation journeys. Our talent team is seeking an experienced AI Architect at Senior Manager level to join a growing practice in London.

In this role, you will own the technical blueprint for enterprise-scale AI platforms and serve as a trusted advisor to C-suite and senior technical stakeholders at our client organizations. You will lead the architecture of complex AI programmes from opportunity shaping through to production delivery, combining deep technical expertise with commercial awareness and consultative skill.

Engagement and delivery leadership

• Own and lead the architecture of complex AI and data transformation engagements, taking accountability for solution design, quality, technical risk and client outcomes
• Lead multi-disciplinary delivery teams including architects, engineers, data scientists and consultants, providing clear direction and technical oversight
• Manage engagement resourcing, forecast team requirements, and develop the talent pipeline through mentoring of junior practitioners
• Proactively identify and manage delivery and architectural risks in complex stakeholder environments
• Communicate clearly to both technical teams and senior client stakeholders, translating architectural complexity into actionable insight
• Conduct rigorous architecture and design reviews and uphold engineering standards across every engagement you lead

Stakeholder management and advisory

• Act as a trusted advisor to client architects, CTOs, CDAOs and engineering leads, earning trust through depth of knowledge and demonstrable delivery track record
• Build and maintain strong senior client relationships, navigating competing priorities across business, technology and risk functions
• Facilitate architecture workshops and decision forums, driving alignment across diverse stakeholder groups
• Translate business strategy into architectural roadmaps, sequencing investment and change in a way that balances ambition with deliverability

Business development and bid support

• Play a leading role in identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements
• Contribute to proposal writing and articulate capabilities through authoring technical and architecture sections of bid responses to client tenders and RFPs
• Support practice-level growth initiatives including account planning, capability development, and go-to-market positioning for AI architecture services

Technical architecture

• Architect AI and data platforms using technologies including cloud-native services, data platforms, and AI orchestration layers
• Design for scalability, security, cost efficiency and multi-cloud patterns with strong grasp of containerisation, infrastructure-as-code, event-driven architectures and CI/CD
• Balance technical excellence with delivery pragmatism and commercial realities
• Design retrieval and reasoning architectures including RAG, corrective RAG, and agentic patterns
• Architect agent harnesses including planning, memory, tool use, state management and multi-agent coordination
• Design evaluation frameworks and guardrails that make AI systems safe, reliable and measurable
• Architect logging, monitoring, tracing and cost-observability across the AI stack

What we're looking for

Experience and qualifications

• 7+ years in technology consulting, architecture or AI/ML engineering, with at least 3 years in a senior leadership or lead-architect role with accountability for end-to-end solution design, resourcing and commercial outcomes
• Proven ability to architect enterprise AI platforms across a mix of technologies with strong design capability across cloud, data and AI domains
• Working understanding of how AI integrates with major operational enterprise systems
• Hands-on knowledge of agentic AI, LLM gateways, RAG/CRAG, agent harnesses, evaluations and guardrails, and AI observability
• Demonstrable experience designing and leading data and AI transformation programmes and building high-performing teams in complex stakeholder environments
• Track record of supporting or leading bid and proposal activity including writing technical sections of responses to tenders and RFPs
• Clear, confident communicator able to make the complex accessible for technical and non-technical audiences
• Master's degree in Computer Science, Engineering, Mathematics, Data Science or a related discipline, or equivalent depth through relevant certifications (AWS Solutions Architect Professional, Google Professional ML Engineer, cloud architecture credentials)

Industry experience

We particularly want to hear from people who have designed and led data and AI transformation programmes across one or more of the following sectors:

• Consumer Packaged Goods (CPG)
• Retail
• Pharmaceuticals and Life Sciences
• Manufacturing
• Financial Services
• Government and Public Services

Prior experience as an embedded or forward-deployed architect within a client environment and exposure to regulated industries would be desired.

How we work with you

Get A Job.ai is a recruiting firm that connects top talent with leading organizations. When you apply through our platform:

• A member of our recruiting team will review your application and conduct an initial screening
• If there's a strong match, we will submit your profile to our client for consideration
• Our team will support you throughout the interview process and provide guidance on expectations
• Please do not contact the client organization directly – all communication should go through Get A Job.ai

Pay

Pay details were not provided for this position. Compensation will be discussed during the screening process and will be competitive and commensurate with experience.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive environment for all candidates. We welcome applications from individuals of all backgrounds and do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, nationality, disability, age or any other protected characteristic.