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- 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: Experience in application architecture and familiarity with AI technologies.
- 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.
Mandatory Skills: Application Architecture
Good to Have Skills: LangChain, Amazon Bedrock, Architecture Patterns and Styles, Generative AI/Open AI/Vector DB
AI Tech Lead/ Architect in Sheffield employer: Thrive IT Systems
Contact Detail:
Thrive IT Systems 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 industry on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and architecture. This gives potential employers a taste of what you can do, especially with GenAI solutions.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 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 Application: Make sure to customise your CV and cover letter for the AI Tech Lead/Architect role. Highlight your experience with Google Cloud Platform, GenAI solutions, and any relevant projects that showcase your skills in application architecture.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Include specific examples of how you've worked with LLMs, data pipelines, and multi-agent architectures. We want to see your hands-on experience and how you’ve tackled challenges in the past.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to scan through your qualifications and achievements. We appreciate a well-structured application!
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Thrive IT Systems
✨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 A2A communication. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've defined LLM solution strategies or implemented RAG pipelines. Think about challenges you faced and how you overcame them. This will demonstrate your ability to architect solutions that are both innovative and practical.
✨Understand the Business Context
Familiarise yourself with how AI can be applied in banking and other enterprise functions. Be ready to explain how your architectural decisions can drive business value. This shows that you’re not just a techie but also understand the bigger picture.
✨Collaborate and Communicate
Since this role involves working with Data Engineers, AI Engineers, and Product teams, practice articulating your ideas clearly. Prepare to discuss how you would translate business requirements into scalable AI blueprints. Good communication skills can set you apart from other candidates.
