Job Description

Our client an established engineering/renewable based company are looking to hire a Technical Architect to work on an AI & Automation project for the business.

Job Title: Technical Architect

Location: Birchwood, Warrington

Duration: 6 Months - view to being extended

Rates: Competitive Hourly Rates - Inside IR35

Remote, with 2-days onsite travel - Site T&S will be Expensed

Job Description:

We’re seeking an experienced Technical Architect with automation and AI experience to support the delivery of our Technology programme. .

You’ll shape technical strategy, design scalable architectures, and ensure solutions align with business goals and enterprise standards.

The key point with the job spec is that the resource we're searching for must be a Tech Architect first and foremost, Automation expertise is the secondary pillar (not the other way around).

 Must be sole UK national.

 Remote, with 2-days onsite travel 

Responsibilities:

Define scalable architectures, data flows, and system integrations

Shape technical strategy aligned to business goals and standards

High level technical architecture leadership across automation and AI programmes

Design robust, future-proof solutions to meet evolving needs

Evaluate emerging technologies and deliver proof-of-concepts

Support full project lifecycle from concept to implementation

Collaborate with cross-functional teams and stakeholders

Identify and manage technical risks and dependencies

Drive operational efficiency, automation, and reduce technical debt

Support M&A through technical due diligence and system integration

Requirements:

Proven experience as a Technical Architect across multiple technology domains

Strong knowledge of frameworks such as ITIL, Prince2, TOGAF, and Archimate

Excellent analytical, problem-solving, and communication skills

Experience working in matrixed environments and fast-paced delivery settings

Strong organisational and project management capabilities

Automation experience (e.g. Power Platform, UiPath, Blue Prism, Automation Anywhere)

AI knowledge including LLMs, Copilots, and Microsoft AI ecosystem

Data platform experience (e.g. Microsoft Fabric, Databricks)

Broad enterprise technology exposure (ServiceNow, CRM, ERP, EUC, infrastructure, cloud)

Solid understanding of Azure and cyber security frameworks (SIEM, XDR, NIST, ISO27001)