Are you an experienced Enterprise AI Architect looking to shape large-scale AI transformation programmes?
An exciting opportunity has arisen for a senior AI architecture professional to help design and deliver enterprise AI platforms, enabling organisations to unlock value from Generative AI, machine learning and modern AI infrastructure.
This role will involve working with senior stakeholders to define AI strategy, architect enterprise AI platforms, and deliver rapid MVP solutions across multiple industries.
The Role:
As an Enterprise AI Architect, you will lead the design and implementation of enterprise AI foundation platforms while supporting organisations in operationalising AI at scale.
You will work closely with leadership teams, engineering squads and business stakeholders to translate AI use cases into production-ready solutions.
Key areas of focus include:
* Architecting enterprise AI platforms and foundation stacks
* Establishing LLMOps and MLOps frameworks
* Building secure AI environments with governance and guardrails
* Delivering rapid AI proof-of-concepts and MVP solutions
* Developing AI operating models and governance frameworks
* Upskilling internal teams and stakeholders on AI capabilities
Key Responsibilities:
* Lead senior stakeholder and C-suite conversations around AI architecture, value cases and adoption strategy
* Define and design enterprise AI foundation stacks including infrastructure, platforms, model registries and vector databases
* Implement LLMOps/MLOps frameworks integrated with DevSecOps and SDLC processes
* Embed Responsible AI governance and risk controls
* Identify and prioritise AI use cases across industry domains
* Lead architecture spikes and MVP delivery with engineering teams
* Establish AI operating models and best practices
* Mentor and upskill internal teams through AI training and communities of practice
Required Experience:
* Strong background in enterprise architecture and applied AI / machine learning
* Proven experience designing enterprise AI platforms
* Experience implementing LLMOps or MLOps frameworks
* Demonstrated success delivering AI MVPs or production solutions
* Strong stakeholder engagement skills with the ability to influence senior leadership
* Experience with cloud AI platforms and open-source AI ecosystems
* Familiarity with private or sovereign AI architectures
Experience working across sectors such as Retail, Consumer Goods, Travel & Hospitality, Healthcare, Manufacturing, or Education would be advantageous.
What’s on Offer
* Opportunity to shape large-scale enterprise AI transformation
* Work on cutting-edge Generative AI and AI platform architecture
* Hybrid working environment
* Competitive salary and benefits package
* Access to continuous learning and professional development