Senior Architect (New AI Team)

  • Manchester, UK
  • £80K-£100K
  • COMPUTER_AND_IT

Job description

Senior Architect | Manchester (Hybrid)

 

Join a business right at the beginning of their AI journey!!

"We are building a new AI capability from the ground up as part of a wider transformation of the business and this is an opportunity to join right at the beginning of our journey: shaping the strategy, foundations, delivery approach and culture rather than inheriting somebody else's playbook."

 

The role

 

You will define how AI fits into the organisation's wider technology landscape and turn high-value business opportunities into production-ready solutions. Joining at the very beginning of the journey, you will set the architectural direction, create the standards others build against and remain close enough to delivery to prove what works.

This is not a purely advisory architecture role. You will work across technology, data, security, product and operations to design and shape AI-enabled products, services and workflows. You will make pragmatic decisions across models, agents, applications, integrations, data and cloud infrastructure, balancing pace with security, reliability, cost and long-term maintainability.

 

What you will do

 

  • Define the target architecture and technical roadmap for the organisation's AI capability.
  • Translate business problems into clear solution designs, architectural options and delivery increments.
  • Design end-to-end AI solutions spanning data, models, retrieval, agents, applications, APIs, integrations and cloud services.
  • Establish reference architectures, reusable patterns and guardrails for generative AI, RAG, intelligent automation and agentic workflows.
  • Lead technical discovery and rapid proofs of value, then shape the route from prototype to production.
  • Set expectations for security, privacy, observability, resilience, evaluation, human oversight and responsible AI.
  • Assess model, platform and vendor options, including build-versus-buy decisions, commercial implications and lock-in risk.
  • Partner with engineering and delivery teams through implementation, resolving design decisions without creating unnecessary governance.
  • Communicate complex architecture clearly to executives, delivery teams and non-technical stakeholders.
  • Help build the team, engineering culture and technical capability needed to scale AI across the business.

 

What we are looking for

 

  • A strong track record designing and delivering complex cloud-based solutions into live production environments.
  • Practical experience with modern AI solution patterns such as LLM applications, RAG, agents, orchestration, prompt and model evaluation, and AI-enabled automation.
  • Strong understanding of integration architecture, APIs, event-driven systems, identity, data platforms and enterprise security.
  • The judgement to choose the simplest viable architecture while keeping a clear path to scale.
  • Experience taking experimental or emerging technology through assurance, operational readiness and production adoption.
  • Confidence influencing senior leaders while remaining credible and collaborative with hands-on engineers.
  • A product mindset: focused on users, measurable value and continuous learning rather than technology for its own sake.

 

Why join and next steps:

 

You will have genuine influence, visibility and the space to build well from day one. The team will tackle meaningful business problems, combining rapid experimentation with the standards required to make AI secure, trusted and valuable at scale. If you enjoy creating clarity where there is ambiguity and want your work to shape an organisation's future, this is a rare opportunity to do exactly that.

Apply today, we are looking to move quickly - the quicker we build the team, the quicker we can start moving ahead with the AI plan.

Day-to-day

Develop and maintain software applications to meet client requirements.
Collaborate with cross-functional teams to design scalable solutions.
Troubleshoot and resolve technical issues promptly.
Participate in code reviews to ensure code quality and standards.
Document software functionality and update technical manuals.
Monitor system performance and implement improvements.
Stay updated with emerging technologies and integrate them as needed.
Provide technical support and training to end-users.

Jody Marks
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