Senior AI Architect

Tenth Revolution Group; Greater London; Remote; GBP 95,000 - 116,000; Full time

Benefits offered by this job

Remote Working

Private Healthcare

Life Assurance

Learning & Development Budget

Clear Career Progression Path

Job summary

Tenth Revolution Group is seeking a Senior AI Architect to lead the design and delivery of enterprise AI platforms in a remote UK setting. You will guide architecture decisions, shape AI strategy, and build production-grade Agentic and Generative AI solutions in regulated environments.

You will mentor engineers, collaborate with senior stakeholders, and drive governance, MLOps, and responsible AI practices while hands-on coding in Python and cloud-native stacks across Azure, AWS, or GCP.

Qualifications

• Strong background in Agentic AI and Generative AI, with production deployments.
• Experience delivering enterprise AI architectures across data, cloud and ML platforms.
• Proven leadership in multi-disciplinary teams and project delivery.

Responsibilities

• Lead architecture and delivery of production-ready Agentic AI and Generative AI solutions.
• Drive architecture decisions across AI, data, cloud and MLOps environments.
• Build multi-agent systems, RAG frameworks and LLM-powered applications.
• Govern AI capabilities with observability, governance and Responsible AI practices.
• Advise senior leaders on AI adoption strategies and roadmaps.
• Mentor engineers, data scientists and AI specialists.
• Help define AI strategy and future direction of the AI capability.

Skills

Agentic AI

Generative AI

LLM in production

MLOps

Python

Cloud-native

Azure AWS GCP

Enterprise AI leadership

Executive stakeholder engagement

Tools

Databricks

MLflow

LangChain

LangGraph

Semantic Kernel

AutoGen

Job description

Senior AI Architect - UK (Remote) - Agentic AI, Gen AI & Enterprise AI -Up to £105,000

I'm working with a growing technology consultancy that is investing heavily in its AI capabilities and looking to appoint a senior AI leader to shape and deliver enterprise-scale Agentic AI and Generative AI solutions across highly regulated environments.

This is an opportunity to play a key role in defining AI strategy, leading technical delivery, and building production-grade AI systems that move beyond proof of concept into real-world business impact.

The Role

You'll lead the architecture and delivery of complex AI solutions, working with senior stakeholders to identify opportunities, define roadmaps, and implement scalable AI platforms.

The role combines deep technical expertise with leadership responsibilities, making it ideal for someone who enjoys remaining hands-on while influencing AI strategy at an organisational level.

You'll be responsible for:

• Designing and delivering production-ready Agentic AI and Generative AI solutions


• Leading architecture decisions across AI, data, cloud and MLOps environments


• Building multi-agent systems, RAG frameworks and LLM-powered applications


• Driving AI governance, observability and Responsible AI best practices


• Advising senior business and technology leaders on AI adoption strategies


• Mentoring engineers, data scientists and AI specialists


• Helping define AI strategy, best practices and the future direction of a growing AI capability.

What We're Looking For

We're interested in speaking with experienced AI Architects, Principal AI Engineers, AI Practice Leads, Head of AI professionals, or similar senior technical leaders who have successfully delivered enterprise AI solutions.

Key experience includes:

Essential

• Strong background in Agentic AI and Generative AI


• Experience building and deploying LLM-based applications in production


• Enterprise AI architecture and technical leadership experience


• MLOps / LLMOps expertise


• Strong engineering foundations with Python and cloud-native technologies


• Experience working with Azure, AWS or GCP


• Commercial experience delivering AI solutions at scale


• Ability to engage with both technical and executive stakeholders

Desirable

• Experience working within Financial Services, Insurance or other highly regulated environments would be advantageous.


• Databricks, MLflow and modern AI platform experience


• LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks


• Retrieval-Augmented Generation (RAG) architectures


• Multi-agent orchestration platforms


• Responsible AI and governance experience

Why Join?

• Join a business making significant investment in AI and emerging technologies


• Work on genuinely innovative Agentic AI and GenAI initiatives


• Influence AI strategy for complex enterprise organisations


• Lead high-impact programmes from concept through to production


• Flexible hybrid/remote working


• Excellent career progression opportunities as the AI practice expands


• Ongoing investment in learning, certifications and professional development


• Collaborative, entrepreneurial environment where your ideas can shape the future direction of the business

Package

• Remote Working


• Private Healthcare


• Life Assurance


• Learning & Development Budget


• Clear Career Progression Path