Enterprise AI Architect (Remote) - GenAI & Agentic AI Lead

Tenth Revolution Group; Greater London; Remoto; GBP 95.000 - 116.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote Working

Private Healthcare

Life Assurance

Learning & Development Budget

Clear Career Progression Path

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Agentic AI

Generative AI

LLM in production

MLOps

Python

Cloud-native

Azure AWS GCP

Enterprise AI leadership

Executive stakeholder engagement

Strumenti

Databricks

MLflow

LangChain

LangGraph

Semantic Kernel

AutoGen

Descrizione del lavoro

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.