AI Architect
Gazelle Global Consulting Ltd
The Role
We are looking for an experienced
AI Architect
to define and govern enterprise-wide architecture strategies while acting as a trusted advisor on Generative AI adoption and transformation. You will work closely with senior business and technology stakeholders to translate AI ambitions into secure, scalable and value-driven execution roadmaps, aligned with business strategy, regulatory requirements and long-term technology modernisation objectives. The role bridges enterprise architecture, business strategy, data, cloud and AI engineering. You will ensure that Generative AI initiatives move beyond isolated proof-of-concepts and become integrated into enterprise platforms, operating models and business processes.
Key Responsibilities
Define and maintain current-state, target-state and transition enterprise architectures across applications, data, integration and infrastructure.
Align enterprise architecture strategies with business objectives, digital transformation initiatives and technology roadmaps.
Act as a Generative AI Subject Matter Expert, advising executives and senior stakeholders on opportunities to deliver measurable business value through AI.
Identify, prioritise and shape GenAI use cases across business functions, including operations, customer service, underwriting, pensions, IT and software development lifecycle (SDLC).
Define and drive GenAI adoption roadmaps, progressing initiatives from proof-of-concept through to enterprise-scale production deployment.
Design end-to-end GenAI architectures covering data pipelines, Retrieval-Augmented Generation (RAG), model orchestration, APIs and integration with enterprise systems.
Establish AI governance frameworks and guardrails covering data privacy, security, model risk, explainability, responsible AI, ethics and regulatory compliance.
Support legacy-to-modern transformation through GenAI-assisted code analysis, documentation, test generation and modernisation accelerators.
Define KPIs and value metrics to measure AI adoption, business impact and transformation outcomes.
Lead architecture forums, design reviews and executive workshops, providing strategic guidance on enterprise and AI transformation.
Essential Skills and Experience
12+ years of experience in Solution Architecture, Enterprise Architecture or related architecture leadership roles.
Strong expertise in enterprise and solution architecture, including legacy modernisation, cloud platforms and enterprise integration.
Proven experience working within large, complex and regulated enterprise environments.
Strong understanding and practical expertise in building Generative AI ecosystems, including Large Language Models (LLMs), RAG, prompt engineering, AI agents and AI platforms.
Demonstrable experience shaping and delivering GenAI solutions beyond experimentation into production environments.
Strong understanding of AI governance, security, responsible AI practices and regulatory considerations.
Ability to translate business requirements and AI ambitions into scalable enterprise architecture and implementation roadmaps.
Excellent stakeholder management, communication and executive-level advisory skills.
Experience leading complex, multi-year enterprise transformation programmes.
Desirable Skills
Awareness of emerging AI technologies, tools, frameworks and industry trends.
Contributions to AI innovation initiatives, proof-of-concepts and reusable accelerators.
End-to-end experience across AI ecosystems, including data pipelines, model development, MLOps, GenAI deployment, governance and enterprise-grade operations.
TPBN1_UKTJ
We are looking for an experienced
AI Architect
to define and govern enterprise-wide architecture strategies while acting as a trusted advisor on Generative AI adoption and transformation. You will work closely with senior business and technology stakeholders to translate AI ambitions into secure, scalable and value-driven execution roadmaps, aligned with business strategy, regulatory requirements and long-term technology modernisation objectives. The role bridges enterprise architecture, business strategy, data, cloud and AI engineering. You will ensure that Generative AI initiatives move beyond isolated proof-of-concepts and become integrated into enterprise platforms, operating models and business processes.
Key Responsibilities
Define and maintain current-state, target-state and transition enterprise architectures across applications, data, integration and infrastructure.
Align enterprise architecture strategies with business objectives, digital transformation initiatives and technology roadmaps.
Act as a Generative AI Subject Matter Expert, advising executives and senior stakeholders on opportunities to deliver measurable business value through AI.
Identify, prioritise and shape GenAI use cases across business functions, including operations, customer service, underwriting, pensions, IT and software development lifecycle (SDLC).
Define and drive GenAI adoption roadmaps, progressing initiatives from proof-of-concept through to enterprise-scale production deployment.
Design end-to-end GenAI architectures covering data pipelines, Retrieval-Augmented Generation (RAG), model orchestration, APIs and integration with enterprise systems.
Establish AI governance frameworks and guardrails covering data privacy, security, model risk, explainability, responsible AI, ethics and regulatory compliance.
Support legacy-to-modern transformation through GenAI-assisted code analysis, documentation, test generation and modernisation accelerators.
Define KPIs and value metrics to measure AI adoption, business impact and transformation outcomes.
Lead architecture forums, design reviews and executive workshops, providing strategic guidance on enterprise and AI transformation.
Essential Skills and Experience
12+ years of experience in Solution Architecture, Enterprise Architecture or related architecture leadership roles.
Strong expertise in enterprise and solution architecture, including legacy modernisation, cloud platforms and enterprise integration.
Proven experience working within large, complex and regulated enterprise environments.
Strong understanding and practical expertise in building Generative AI ecosystems, including Large Language Models (LLMs), RAG, prompt engineering, AI agents and AI platforms.
Demonstrable experience shaping and delivering GenAI solutions beyond experimentation into production environments.
Strong understanding of AI governance, security, responsible AI practices and regulatory considerations.
Ability to translate business requirements and AI ambitions into scalable enterprise architecture and implementation roadmaps.
Excellent stakeholder management, communication and executive-level advisory skills.
Experience leading complex, multi-year enterprise transformation programmes.
Desirable Skills
Awareness of emerging AI technologies, tools, frameworks and industry trends.
Contributions to AI innovation initiatives, proof-of-concepts and reusable accelerators.
End-to-end experience across AI ecosystems, including data pipelines, model development, MLOps, GenAI deployment, governance and enterprise-grade operations.
TPBN1_UKTJ
Reference: WJ-5375_14587272