Technical Architect

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)