Kaya
Technical Architect - AI-UK
Skills
21 days ago
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Important information
Contract type:
Permanent
Location:
London, UK
Work mode:
Remote
Published on:
6 October 2026
What they need
AI Architect – Job Description
We are seeking a visionary AI Architect with deep expertise in Generative AI, LLMs , and scalable architecture design . You will lead the technical direction of cutting-edge AI systems, collaborating with cross-functional teams to deliver high performance, secure, and maintainable solutions. The candidate will also bring experience in client services and project delivery , with the ability to engage effectively with client stakeholders , translate business requirements into technical strategies, and ensure alignment across engineering and delivery teams.
Responsibilities · Engage with client stakeholders throughout the project lifecycle to ensure smooth execution and timely delivery
· Take ownership of end-to-end program delivery, managing risks, issues, and status reporting to leadership
· Architect enterprise-scale solutions leveraging GenAI and NLP technologies for real-world use cases
· Provide hands-on technical leadership to the development team, actively assisting in overcoming complex challenges
· Lead and manage cross-functional development teams, ensuring high performance and collaboration
Skills · Enterprise Solution Design, Development and Delivery: Experience in designing, developing and delivering of enterprise scale solutions by working with different internal and external stakeholders.
· GenAI/ML Frameworks & Tooling: Hands on experience in using Large Language Models (LLMs), RAGs, LangChain, LangGraph, Vector Databases (Pinecone, Milvus, Neo4j) for developing AI/ML based solutions.
· Backend & API Development: Hands on experience in server-side technologies including Python, Node.js, Spring Boot in developing Microservices Architectures, RESTful APIs.
· Frontend & UI Development: Hands on experience in using React.js, Angular, TypeScript
· DevOps & Cloud Infrastructure: Expertise in CI/CD Pipelines (Jenkins, ADO), Containerization (Docker, Kubernetes, OpenShift), Cloud Platforms (Azure, AWS, GCP).
· Other Skills: Mentoring and providing technical leadership for cross-functional teams.
Qualifications · Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
· Experience in client services and project delivery, managing client stakeholders.
· 8+ years of professional experience in software architecture.
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