Enterprise Architect
Accenture
Edinburgh, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 130KJob location
Edinburgh, United Kingdom
Tech stack
Artificial Intelligence
Databases
Data Architecture
Machine Learning
Open Source Technology
Systems Development Life Cycle
Large Language Models
Generative AI
Data Strategy
Microsoft Fabric
Enterprise Integration
Data Management
Machine Learning Operations
Devsecops
Job description
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, * 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
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Requirements
- Strong background in enterprise architecture and applied AI / machine learning
- 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.
Benefits & conditions
- 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
About the company
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