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- Tasks: Design and implement an AI-driven software development lifecycle to boost developer productivity.
- 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 commitment to 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
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.
Agentic AI Architect – SDLC employer: Cavendish Professionals
Contact Detail:
Cavendish Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Architect – SDLC
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software development. We want to see your hands-on experience with .NET and Azure DevOps in action!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI-driven SDLCs and multi-agent systems. We recommend practising with a friend or using mock interview platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Agentic AI Architect – SDLC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Agentic AI Architect role. Share your passion for AI-driven solutions and how you can contribute to our client's goals.
Showcase Your Technical Skills: Be specific about your hands-on experience with .NET, Azure DevOps, and multi-agent orchestration frameworks. We love seeing concrete examples of how you've applied these technologies in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
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 specific projects where you've applied these technologies will really impress.
✨Showcase Your AI Expertise
Prepare to talk about your experience with AI/ML systems, especially in relation to code generation and test automation. Have examples ready that demonstrate how you've used LLMs or multi-agent orchestration frameworks like LangChain in real-world scenarios.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms. This will not only show your understanding but also your ability to collaborate with non-technical stakeholders.
✨Demonstrate Leadership and Collaboration
Be ready to discuss how you've led teams or projects in the past. Highlight your stakeholder management skills and how you’ve aligned technical solutions with business goals. This will show that you can drive best practices and lead initiatives effectively.