AI Architect

SPG Resourcing; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

SPG Resourcing seeks an AI Solution Architect to shape and scale intelligent automation, language models and agentic AI across customer-facing products and internal operations.

You will define architecture patterns, guide delivery teams and collaborate with security, engineering, product and data stakeholders to deliver intelligent assistants, copilots and AI-enabled workflows.

Qualifications

• Strong understanding of AI governance, operations, and observability.
• Experience designing preventative, detective and corrective AI controls.
• Familiarity with ISO/IEC 42001, NIST AI RMF or EU AI Act and responsible AI.
• Enterprise solution architecture across cloud, data, API integration.
• Experience embedding AI-powered solutions into workflows and UIs.
• Knowledge of GenAI patterns (RAG, agent-based) and orchestration.
• Experience with messaging, event-driven architectures and API integration.
• Excellent stakeholder engagement across multiple teams.
• Experience with Azure-native AI or hyperscalers; data platforms and productivity tools.
• Understanding secure data access, classification, masking, and policy enforcement.

Responsibilities

• Define and evolve enterprise GenAI and AI architecture roadmap.
• Lead AI Trust and Controls layer addressing AI risks.
• Identify opportunities to reimagine processes with AI.
• Design enterprise solutions embedding LLMs and agentic automation.
• Collaborate with integration teams across data sources and platforms.
• Provide technical leadership to pilot and delivery teams.
• Establish LLMOps and AgenticOps capabilities including governance.
• Contribute to AI-ready architecture practice through standards.
• Support integration with messaging platforms and APIs.
• Hybrid working arrangements with flexible time away from home.

Skills

AI governance

AI operations

AI observability

AI risk controls

ISO/IEC 42001

NIST AI RMF

EU AI Act

enterprise architecture

LLM/GenAI integration

AI patterns (RAG, agent-based)

LLMOps/AgenticOps

security-conscious design

stakeholder engagement

cloud/data/API integration

Azure-native AI

Job description

A leading organisation is seeking an AI Solution Architect to help shape and scale intelligent automation, language models and agentic AI capabilities across customer-facing products and internal operations.

Reporting to the Head of Data and AI Architecture, the successful candidate will define architecture patterns, guide delivery teams and collaborate with security, engineering, product and data stakeholders to deliver intelligent assistants, copilots and AI-enabled workflow solutions.

Key Responsibilities

• Define and evolve the enterprise GenAI and broader AI architecture roadmap, aligned with the organisation's data and digital strategy.
• Lead the architectural design of an enterprise AI Trust and Controls layer, addressing risks including sensitive data leakage, toxicity, prompt injection, jailbreaking, insecure outputs, model security and other AI-related risks.
• Identify opportunities to innovate and reimagine business processes through AI.
• Lead the design of enterprise solutions embedding LLMs, GenAI and agentic automation into business workflows.
• Work with integration teams to deliver solutions across structured and unstructured data sources and enterprise platforms.
• Provide technical leadership to pilot and delivery teams, developing reference architectures and scaling successful AI patterns.
• Partner with security, platform and engineering teams to establish LLMOps and AgenticOps capabilities, including prompt lifecycle management, model observability, caching, evaluation and governance.
• Contribute to the development of an AI-ready architecture practice through knowledge sharing, standards and reference implementations.
• Support integration with messaging platforms, event-driven architectures and API ecosystems.
• Working Arrangements
• The organisation operates a hybrid working model, with employees expected to spend a proportion of their working time away from home. Flexible working arrangements may be available depending on the role and team.

Skills & Experience

• Strong understanding of the AI Governance, AI Operations and AI Observability landscape, including relevant solutions, frameworks and libraries.
• Experience designing preventative, detective and corrective controls for AI-related risks.
• Working knowledge of AI governance frameworks such as ISO/IEC 42001, NIST AI RMF or the EU AI Act, alongside responsible AI principles.
• Strong solution architecture experience within enterprise environments, ideally spanning cloud, data, API integration and business applications.
• Experience designing or integrating AI-powered solutions into operational workflows, including intelligent assistants, generative search, summarisation, automation platforms and AI-enabled user interfaces.
• Knowledge of GenAI application patterns including RAG, agent-based architectures and orchestration frameworks.
• Experience with messaging technologies, event-driven architectures and API-driven integration.
• Strong stakeholder engagement skills, with the ability to work across architecture, security, business, engineering and data teams.
• Experience with Azure-native AI and cloud services or equivalent hyperscaler technologies, including services for LLMs, machine learning, enterprise search, data platforms and productivity ecosystems.
• Understanding of secure architectural patterns for accessing structured and unstructured data, including data classification, masking and policy enforcement

Equal Opportunity Statement

SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.