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- Tasks: Design and implement a next-gen AI-driven software development lifecycle.
- Company: Global tech organisation focused on innovation and inclusivity.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and equal opportunity.
- Why this job: Join a cutting-edge team and shape the future of AI in software development.
- Qualifications: 7+ years in software engineering with strong AI/ML experience.
The predicted salary is between 80000 - 100000 £ per year.
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
Agentic AI Architect – SDLC in London employer: Cavendish Professionals
Contact Detail:
Cavendish Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Architect – SDLC in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who are already in AI or software development roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML or .NET. This is your chance to demonstrate your expertise in designing AI-enabled SDLCs and multi-agent systems.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Azure DevOps and LLM integration. Be ready to discuss how you've applied AI to improve developer productivity and automation in past roles.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Agentic AI Architect – SDLC in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 7+ years in software engineering and any specific projects related to AI/ML or LLM-based systems. We want to see how you fit into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about designing AI-driven SDLCs and how your expertise aligns with our needs. Let us know what excites you about this role and why you want to join us.
Showcase Relevant Projects: If you've worked on projects involving .NET, Azure DevOps, or multi-agent orchestration frameworks, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us. We can’t wait to hear from you!
How to prepare for a job interview at Cavendish Professionals
✨Know Your Tech Inside Out
Make sure you’re well-versed in the .NET ecosystem and Azure DevOps. Brush up on your knowledge of CI/CD pipelines, microservices, and AI integration. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Showcase Your AI Expertise
Prepare to discuss your experience with AI/ML systems, especially in relation to code generation and test automation. Be ready to share specific examples of how you've applied AI to enhance developer productivity or optimise DevOps processes. This will demonstrate your practical understanding of the role.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating complex technical concepts in a way that’s easy to understand. Use examples from your past experiences to illustrate your points, and don’t shy away from discussing how you’ve managed stakeholders effectively.
✨Prepare Questions That Matter
Think about what you want to know regarding the company’s approach to AI governance and observability. Asking insightful questions not only shows your interest but also helps you gauge if the company aligns with your values and career goals. It’s a two-way street!