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- Tasks: Design innovative Azure AI architectures and lead cutting-edge AI solutions.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with the latest technologies.
- Qualifications: 15+ years in software architecture, with strong Azure and AI/ML experience.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 72000 - 108000 £ per year.
Your responsibilities:
- Define target-state Azure AI reference architectures leveraging Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval).
- Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search or vector-enabled data stores.
- Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams.
- Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security boundaries, and observability.
- Architect document intelligence pipelines (classification/extraction/OCR/validation) and integrate with downstream systems (CRM/ERP/ITSM/EDM).
- Define non-functional requirements (availability, latency, throughput, cost, DR/RTO-RPO) and ensure solutions meet them.
- Implement identity & access (Entra ID), data isolation, Key Vault secrets, network security (Private Endpoints), and content filtering.
- Embed Responsible AI practices: safety filters, prompt/content governance, data privacy, red-teaming guidance, and human-in-the-loop review where needed.
- Ensure regulatory alignment (e.g., GDPR, ISO controls) and collaborate with risk, legal, and security for approvals.
- Define MLOps processes for versioning, evaluation, promotion, rollback, and monitoring (latency, cost, drift, hallucination rate, safety events).
- Instrument observability (logging, tracing, metrics) and error budgets; establish SLIs/SLOs for AI services.
- Drive FinOps discipline capacity planning, token/cost controls, caching strategies, and model selection/optimization.
- Mentor engineers on prompt engineering, grounding, tool-use patterns, and quality evaluation frameworks.
Essential skills:
- 15+ years overall in software/solution architecture with 7+ years in cloud (Azure) and 5+ years in AI/ML or Azure AI solutioning.
- Proven experience leading production-grade solutions using Azure OpenAI, Azure AI Foundry, Azure AI Document Intelligence, Azure Data Factory, Azure ML Service, Azure Data bricks, Azure Key Vault, Azure BLOB Storage Account, Azure Log Analytics, Synapse Analytics, Azure DevOps.
- Hands-on experience in deep knowledge of LLMs (prompting, system prompts, grounding, evaluation), embeddings, and RAG design (index selection, chunking strategies, reranking, citations).
- Strong design of secure API and event-driven integration patterns; familiarity with microservices and domain-driven design concepts.
- Practical expertise in Entra ID, RBAC, network isolation (Private Links), secret management, data residency, and Responsible AI controls.
- Experience aligning solutions with privacy and compliance requirements (e.g., GDPR, ISO 27001 controls) and completing architecture risk assessments.
- Proficiency in Python and/or C# for service integration, evaluation tooling, and adapters; solid understanding of REST APIs, JSON, and async patterns.
Mode of working: Hybrid (3 days)
Work locations: London, Tunbridge Wells, Ipswich, Bolton
Azure AI Architect in City of London employer: Infoplus Technologies UK Ltd
Contact Detail:
Infoplus Technologies UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure AI Architect in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Azure AI space. Attend meetups, webinars, or even just grab a coffee with someone already in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Azure AI, especially those involving OpenAI and Document Intelligence. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company’s use of Azure AI and mention specific projects or technologies they’re involved with in your conversations. This shows you’re genuinely interested and knowledgeable.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that Azure AI Architect role!
We think you need these skills to ace Azure AI Architect in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Azure AI technologies. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back on showcasing your relevant projects!
Showcase Your Achievements: When detailing your past roles, focus on specific achievements rather than just listing duties. Use metrics where possible to demonstrate your impact, especially in areas like solution architecture and AI implementations. We love seeing quantifiable results!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s relevant to the role, and make sure to proofread for any typos or errors before hitting send!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Infoplus Technologies UK Ltd
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around Azure AI Foundry and Azure OpenAI. Be ready to discuss specific projects where you've implemented these technologies, as well as the architectural decisions you made.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex challenges in previous roles. Think about situations where you defined non-functional requirements or established standards for RAG architectures, and be ready to explain your thought process.
✨Understand Compliance and Security
Since regulatory alignment is key, make sure you can talk about your experience with GDPR and ISO controls. Be prepared to discuss how you've collaborated with legal and security teams to ensure compliance in your solutions.
✨Demonstrate Your Mentorship Experience
As mentoring engineers is part of the role, think of instances where you've guided others in prompt engineering or quality evaluation frameworks. Share how you approach mentorship and the impact it had on your team.
