Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of innovative AI solutions using Google Cloud Platform.
- Company: Join a forward-thinking tech company at the forefront of AI development.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Shape the future of AI while collaborating with top talent in the industry.
- Qualifications: Proven experience in AI architecture and strong collaboration skills required.
- Other info: Be part of a dynamic team driving cutting-edge AI innovations.
The predicted salary is between 72000 - 108000 £ per year.
Architect end-to-end GenAI and Agentic AI solutions using Google Cloud Platform (GCP) including Vertex AI APIs and Agent Development Kit (ADK).
Design multi-agent architectures supporting Agent-to-Agent (A2A) communication, orchestration, and collaboration across diverse enterprise functions.
Define LLM solution strategy, model selection, fine-tuning, grounding, and retrieval-augmented generation (RAG) pipelines for contextual accuracy.
Establish context and memory engineering frameworks, embedding stores, vector databases, and persistence strategies.
Architect prompt management and function-calling layers for seamless integration between agents, APIs, and enterprise business logic.
Oversee ML and data architecture, data pipelines, model lifecycle management, and operationalization.
Design API and microservice integration patterns to enable secure, low-latency communication among agents, backend systems, and UI/UX layers.
Implement governance, observability, and compliance frameworks for GenAI deployments, ensuring alignment with enterprise data security and regulatory standards.
Evaluate and recommend emerging Agentic AI frameworks, LLMOps tools, and GCP-native innovations (Gemini, ADK, Agent Builder) for continuous architecture evolution.
Collaborate with Data Engineers, AI Engineers, and Product teams to translate business requirements into scalable AI blueprints and ensure seamless delivery across agentic ecosystems.
Experience with banking-related AI/GenAI use cases will be a plus.
AI Tech Lead/Architect in Sheffield employer: TESTQ Technologies Limited
Contact Detail:
TESTQ Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Tech Lead/Architect in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with Google Cloud Platform. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to GenAI and Agentic AI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and GCP. Be ready to discuss how you would architect solutions and tackle real-world problems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Tech Lead/Architect in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Tech Lead/Architect role. Highlight your experience with Google Cloud Platform, especially any work with Vertex AI APIs and multi-agent architectures. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about GenAI and Agentic AI solutions. Share specific examples of your past projects that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills relevant to the role. Mention your experience with LLM solution strategies, data pipelines, and API integrations. We love seeing candidates who can demonstrate their expertise in these areas!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at TESTQ Technologies Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Google Cloud Platform, especially Vertex AI APIs and the Agent Development Kit. Brush up on your knowledge of multi-agent architectures and how they facilitate communication across different enterprise functions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've defined LLM solution strategies or implemented RAG pipelines. Highlight your experience with context and memory engineering frameworks, as this will demonstrate your ability to tackle complex challenges.
✨Understand the Business Side
Familiarise yourself with how AI solutions can drive business value, particularly in banking-related use cases. Be ready to explain how your architectural decisions align with business requirements and enhance operational efficiency.
✨Collaboration is Key
Emphasise your experience working with cross-functional teams, like Data Engineers and Product teams. Share examples of how you’ve translated business needs into scalable AI blueprints, showcasing your ability to deliver seamless integration across agentic ecosystems.
