AI Architect

London, City And County Of the City Of London, United Kingdom
2 months ago
£600 – £635 pd
Applications closed

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Salary

£600 – £635 pd

Job Type
Contract
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
6 May 2026 (2 months ago)

AI Architect

Hybrid (London, Bristol, Leeds, Manchester)

Initial 3 months with extensions

Inside IR35 - Umbrella only

Our client, a reputable organisation in the IT sector, is seeking a talented AI Architect to join their team on a hybrid basis. This is a fantastic opportunity to work on cutting-edge AI solutions within a dynamic environment.

What you'll be doing:

Design and develop Microsoft Azure AI solutions using services such as AI Foundry, Open-AI, and Microsoft Copilot Studio.

Apply governance frameworks to ensure responsible AI/ML model deployment.

Use Python to automate processes and optimise workflows.

Handle large datasets, including data preprocessing, feature engineering, and model evaluation.

Lead the agile development of AI solutions from concept through deployment and ongoing improvement.

Create and maintain comprehensive technical documentation.

Communicate complex AI concepts clearly to stakeholders at all levels.What you'll bring:

Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations.

Strong skills in data analytics, MLOps practices, and API development.

Knowledge of governance frameworks for AI/ML models.

Python expertise for automation.

Experience working with large datasets and deploying AI solutions in an agile environment.

Desirable familiarity with Docker and Kubernetes.

Join a forward-thinking team where your expertise will shape innovative AI solutions. If you're passionate about AI and ready to make an impact, we'd love to hear from you

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.