4 of 4 Permanent Integration Patterns Jobs in the North West

roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering … bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong stakeholder engagement and communication skills Levels:Manager to Associate Director Open to a confidential chat about ...

Technical Architects, setting clear expectations, driving high performance, and fostering a culture of innovation, ownership, and continuous improvement. You will also oversee AI integration across the organisation—both within the core product and across the wider ecosystem—ensuring these capabilities are delivered securely, responsibly, and at scale. You will … ability to operate hands‐on where needed. Proven experience leading teams of Principal Engineers and Architects in complex environments. Strong understanding of AI integration patterns (e.g. RAG, embeddings, vector databases), cloud‐native architectures, and scalable distributed systems. Experience overseeing AI‐enabled product capabilities at scale. Proven ability ...

Strong hands-on expertise with AWS cloud platforms (essential) Proven experience designing scalable, distributed and microservices architectures Deep understanding of APIs, system design, and integration patterns Strong experience within DevOps, CI/CD, and modern engineering practices Ability to influence technical direction through expertise rather than authority Desirable ...

days a week but there is quite a lot of flexibility to that. Responsibilities: Own and evolve the enterprise data architecture - defining data models, integration patterns, and standards that scale with the business. Design secure, resilient data solutions across cloud and on-premises environments, ensuring they ...