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Ai and automation solutions architect

Manchester
Oliver James
Solution architect
Posted: 17 November
Offer description

Our client, a forward-looking Fintech organisation, is seeking an AI & Automation Solutions Architect to design and build the technical backbone for their next generation of AI-driven sales and operations. This is a senior role for someone who can translate business ambition into scalable technical solutions — connecting data, platforms, and intelligent agents across the enterprise.

The Role


As AI & Automation Solutions Architect, you will be responsible for creating the enterprise-grade architecture that enables AI and automation at scale. You’ll design the integration of internal and external data sources, APIs, and orchestration layers (such as Modular Cognitive Platforms), ensuring that large language models (LLMs), AI agents, and enterprise user interfaces work together seamlessly. Your work will create a secure, governed, and scalable environment for real-time, on-demand insights and automation.


Key Responsibilities

* Define and deliver the architecture for integrating data pipelines, APIs, databases, and external data sources.
* Design and implement orchestration layers (e.g., MCPs) to connect LLMs, AI agents, and enterprise platforms.
* Build event-driven and microservices-based architectures that enable scalable, flexible solutions.
* Ensure security, compliance, and governance are embedded into all AI/automation systems.
* Partner with business and technology leaders to translate requirements into robust, future-proof technical designs.
* Evaluate emerging AI, automation, and integration technologies, identifying opportunities for adoption.
* Establish frameworks, standards, and best practices for enterprise-wide AI and automation enablement.


About You

* Proven track record in AI/automation architecture, enterprise integration, or data engineering.
* Deep expertise in cloud platforms (AWS, Azure, GCP) and associated data/AI services.
* Strong hands-on experience in building APIs, event-driven systems, and microservices.
* Familiarity with orchestration platforms (e.g., MCPs), LLMs, and AI agent connectivity.
* Strong grounding in data security, governance, and compliance for enterprise environments.
* Excellent problem-solving and solution-design skills, balancing innovation with delivery practicality.
* Skilled communicator, able to influence senior stakeholders and guide cross-functional teams.


Why Apply?

* Define the technical foundations of AI and automation in a high-growth, innovation-led organisation.
* Shape how data, AI, and enterprise applications connect to transform customer and business outcomes.
* Join a culture that values technical innovation, continuous improvement, and enterprise-wide impact.

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