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    Our client is a global technology organisation looking for an Agentic AI Architect to design and deliver a next-generation AI-driven SDLC on a 12 month remote contract.

    Skills and Requirements:

    • 7+ years in software engineering/architecture with 3+ years in AI/ML or LLM-based systems
    • Strong experience designing AI-enabled SDLC or developer productivity solutions
    • Deep expertise in .NET ecosystem (.NET Core, C#, Web APIs, microservices)
    • Hands-on experience with Azure DevOps (CI/CD pipelines, boards, repos, test plans)
    • Experience with multi-agent orchestration frameworks (LangChain, LangGraph, Semantic Kernel)
    • Strong understanding of LLM integration and prompt engineering (OpenAI, Azure OpenAI)
    • Proven experience applying AI to code generation, test automation, and DevOps optimisation
    • Solid knowledge of Microsoft Azure (App Services, AKS, Functions, networking)
    • Experience with distributed systems, APIs, and microservices architecture
    • Familiarity with AI evaluation, observability, and performance metrics (accuracy, latency, cost)
    • Knowledge of RAG, embeddings, vector databases, and hybrid search (preferred)
    • Strong understanding of DevSecOps, security, and compliance practices (preferred)
    • Excellent stakeholder management, communication, and leadership skills

    Role and Responsibilities:

    • Design and implement an Agentic AI-driven SDLC across development, testing, and operations
    • Architect and orchestrate multi-agent AI systems to enhance developer productivity and automation
    • Build AI capabilities across code generation, test automation, CI/CD intelligence, and incident management
    • Evaluate and integrate AI tools, LLMs, and frameworks to define scalable enterprise solutions
    • Embed AI into Azure DevOps pipelines including backlog refinement, CI/CD, and release decisions
    • Define AI governance frameworks including observability, cost control, and compliance
    • Implement monitoring, feedback loops, and continuous improvement mechanisms for AI systems
    • Collaborate with engineering, product, QA, and architecture teams to align solutions with business goals
    • Drive best practices in system design, scalability, and performance optimisation
    • Lead the definition of architecture strategy balancing performance, cost, and scalability

    For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.

    Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.

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    Job manager

    Klaudia Dudek

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