Sanderson
Lead AI Agentic Architect - Enterprise

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Enterprise AI Architect - AI Agentic Architect - Lead AI Design Architect - Lead AI Architect - AI Architect - Principal AI Architect or Digital Transformation Architect - AI
£650-£750 p/d - Outside IR35 - Highly remote - 6 month initial contract
Overview:
A highly respected and liked organisation are in the early stages of a large scale and complex technology / digital transformation programme and are on the search for an experienced Lead AI Architect to define and deliver its enterprise AI strategy, architecture, governance framework and adoption roadmap.
This is a high-profile role focused on shaping how AI and Agentic AI capabilities are designed, governed and scaled across a complex enterprise environment. You will provide strategic leadership across AI architecture, platform strategy, design standards and AI enablement, helping the business move from experimentation to enterprise-wide adoption.
Key Responsibilities
- Define enterprise AI target architectures and transition roadmaps.
- Develop scalable AI and agentic architecture patterns covering orchestration, integration, security, observability and lifecycle management.
- Working with AI Governance, evolve the Agent taxonomy and tiering based on purpose, autonomy, impact, data sensitivity, reach and criticality. Including patterns for single-agent, multi-agent, master-agent and specialist-agent approaches.
- Establish AI platform strategies, standards, guardrails and reusable design frameworks.
- Assess and prioritise AI opportunities across multiple business functions, creating a long-term AI roadmap aligned to organisational objectives.
- Create AI design principles, reference architectures and governance frameworks to ensure secure, responsible and scalable adoption.
- Lead stakeholder engagement across architecture, technology, data, security, risk and business teams.
- Enable internal teams through workshops, design reviews, coaching and reusable best practice assets.
- Drive adoption of AI governance, technical assurance and operational standards.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Experience
- Proven experience defining and implementing enterprise AI strategies and architecture roadmaps.
- Strong knowledge of Agentic AI, AI platforms, large language models, orchestration frameworks and AI governance.
- Experience designing scalable AI solutions incorporating data, integration, APIs, security and cloud platforms.
- Deep understanding of enterprise architecture principles and digital transformation programmes.
- Experience establishing AI standards, operating models, assurance processes and governance frameworks.
- Strong stakeholder management skills with the ability to influence senior business and technology leaders.
- Experience working across complex enterprise environments with multiple business units and priorities


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Ideal Background
- Enterprise Architect, AI Agentic Architect, AI Architect, Principal Architect or Digital Transformation Architect.
- Experience with Microsoft Copilot, Azure AI, AI agent frameworks and modern enterprise AI platforms.
- Strong understanding of responsible AI, data governance, privacy and security requirements.
Deliverables
- Enterprise AI target architecture.
- Agentic AI architecture framework.
- AI platform and operating model strategy.
- Enterprise AI roadmap and prioritisation framework.
- AI design principles and standards.
- AI governance and assurance framework.
- Reusable architectural patterns and enablement assets.
This is an opportunity to play a pivotal role in defining how AI is embedded across a major organisation, creating the foundations for scalable, secure and responsible AI adoption.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location