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- Tasks: Architect innovative AI solutions using Google Cloud Platform and design multi-agent architectures.
- Company: Join a forward-thinking tech company focused on AI advancements.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in the AI space while collaborating with top talent.
- Qualifications: Experience in AI architecture and strong collaboration skills required.
- Other info: Dynamic role with potential for career advancement in a cutting-edge field.
The predicted salary is between 72000 - 108000 £ per year.
Job Type: Contract
Work Mode: Hybrid (2 Days from office)
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 Engagement Senior 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 Engagement Senior Architect in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with AI and Google Cloud. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your experience with GenAI and Agentic AI solutions. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and data architecture. Be ready to discuss how you've tackled similar challenges in the past – real-world examples go a long way!
✨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 Engagement Senior Architect in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engagement Senior Architect role. Highlight your experience with Google Cloud Platform, GenAI solutions, and any relevant projects that showcase your skills in multi-agent architectures and LLM strategies.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that align with the job description, especially around architecting AI solutions and collaborating with cross-functional teams.
Showcase Relevant Projects: If you've worked on projects involving Agentic AI or banking-related use cases, make sure to include 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 through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly with us!
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
Prepare to discuss specific examples where you've defined LLM solution strategies or implemented RAG pipelines. Be ready to explain how you approached challenges and what the outcomes were, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with banking-related AI use cases. Being able to connect your technical skills to real-world applications in the banking sector will set you apart and show that you understand the industry’s needs.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams, like Data Engineers and Product teams. Prepare to discuss how you’ve translated business requirements into scalable AI blueprints, as collaboration is key in this role.
