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Agentic AI Architect​/Software Engineer

Job in Liverpool, Merseyside, L1, England, UK
Listing for: Kyndryl
Full Time position
Listed on 2025-12-19
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Job Description & How to Apply Below
Position: Agentic AI Architect / Software Engineer
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** Who We Are
**** The Role
** As an Agentic AI Architect / Software Engineer at Kyndryl, you will work on cutting-edge, enterprise-scale platforms that integrate next-generation Agentic AI and multi-agent system capabilities. This is a strategically important role that blends architectural design, advanced AI engineering, and hands-on software delivery.

Depending on your strengths, you may lean more towards architecture or software engineering; however, all candidates are expected to operate comfortably across design, build, and delivery. You will thrive in a true builder’s environment, where MVPs are delivered in weeks, requirements evolve rapidly, and your work directly shapes Kyndryl’s AI-native transformation.
** What You’ll Do
*** Design and deliver distributed, cloud-native architecture's for large-scale enterprise systems across AWS, Azure, and GCP.
* Build and maintain core software components for Agentic AI platforms, translating architectural vision into secure, scalable, production-ready code.
* Design and implement Agentic and multi-agent systems, including orchestration of autonomous workflows using frameworks such as Lang Graph, Lang Chain, AutoGPT, CrewAI, or custom-built solutions.
* Develop and deploy LLM-based solutions, including Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI orchestration layers.
* Integrate external APIs, enterprise systems, databases, and knowledge sources into Agentic workflows.
* Implement action planning and reasoning frameworks such as ReAct, Tree-of-Thought, and Plan-and-Execute to enable robust agent behaviour.
* Design human-in-the-loop feedback mechanisms, delegation models, and guardrails to support safe, explainable, and controllable AI systems.
* Set and uphold technical standards for security, scalability, and performance, preventing poor-quality code or weak architecture from entering production.
* Translate ambiguous customer requirements into clear technical designs and working implementations.
* Collaborate closely with engineers, data specialists, architects, and stakeholders to deliver rapid MVPs and production deployments.
* Work in agile sprints, contributing to code reviews, pull requests, and continuous improvement.
* Engage directly with customers as a technical authority or subject matter expert, particularly in regulated or complex enterprise environments.
** Your Future at Kyndryl
** Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialise in a specific sector, you can find your opportunity here.
** Who You Are
** You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused, someone who prioritise customer success in their work. And finally, you’re open and borderless, naturally inclusive in how you work with others.
** Required Skills and Experience
*** Minimum of 7 years’ experience in software engineering, AI engineering, or architecture roles.
* Advanced degree in AI, Computer Science, or a related technical field.
* Strong programming skills in Python, with experience in Rust, C++, or C#.
* Proven experience designing and building distributed systems and cloud-native platforms.
* Hands-on experience with PyTorch and/or Tensor Flow, and deploying LLM-based solutions.
* Strong understanding of vector databases, RAG architectures, and AI orchestration tools.
* Experience working with Agentic AI, multi-agent systems, and autonomous workflows.
* Familiarity with containerisation, orchestration, API design, observability, concurrency, and asynchronous programming.
*…
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