AI Technical Architect

Randstad Technologies Recruitment
London, City And County Of the City Of London, United Kingdom
Today
£500 – £600 pd

Salary

£500 – £600 pd

Job Type
Contract
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Security Clearance
Required
Posted
17 May 2026 (Today)

AI Technical Architect

6 Months Remote Contract

£600 a day Inside IR35

Active Security Check (SC) Clearance is needed for this role

A well-established IT solution provider is looking for an experienced AI Technical Architect to join an existing team of experts. In this highly visible role, you will act as the bridge between complex data science and robust cloud architecture-spearheading the design, governance, and delivery of enterprise-grade AI solutions. You will technically steer engineering teams, manage senior stakeholder relationships, and deliver production-ready Generative AI capabilities.

The ideal candidate must be heavily hands-on with Python and Azure, possessing a proven track record of designing and deploying Retrieval-Augmented Generation (RAG) patterns.

Key Responsibilities

Architect & Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle.

GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI, and Cognitive Search.

Data Pipelines: Oversee large-scale data processing and AI data engineering pipelines using Python and PySpark.

Leadership & Stakeholder Management: Guide and mentor engineering teams while confidently managing client relationships to secure consensus on complex technical architectures.

Essential Skills

Clearance: Active UK Government Security Check (SC).

GenAI: Expertise in LLMs and RAG architectures.

Python: Strong proficiency alongside PySpark for data engineering.

Azure: Deep familiarity with native tools (AI Search, Document Intelligence).

MLOps: Understanding of LLMOps frameworks for production deployment.

6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance

Are you a seasoned technical leader with a passion for cutting-edge artificial intelligence? If this sounds like your next challenge, please apply directly to this advert or send your CV to (url removed).

Randstad Technologies is acting as an Employment Business in relation to this vacancy

Related Jobs

View all jobs

Senior Technical Account Manager

Snowflake London, United Kingdom
Permanent

Delivery Solutions Architect

Databricks London, United Kingdom

Data Architect

The Associates Global Chaucer, London, United Kingdom
£85,000 – £90,000 pa Hybrid

Sr. Delivery Solutions Architect

Databricks London, United Kingdom

Principal Performance Engineer

Matillion India

Senior Staff Software Engineer

Matillion Manchester, United Kingdom
Hybrid

Industry Insights

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

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.