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For Companies At a Glance
- Tasks: Lead the design of innovative Agentic AI solutions for a top-tier financial institution.
- Company: Join a leading tech firm driving digital transformation in finance.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a significant impact in banking.
- Qualifications: Expertise in GCP, AI frameworks, and experience in regulated industries required.
- Other info: Dynamic role with a focus on cutting-edge AI and career advancement.
The predicted salary is between 60000 - 84000 £ per year.
Location: Sheffield, UK (Hybrid - 2 Days Onsite/Week)
Contract Duration: 6-9 Months
Role Type: FTE or Contractor
The Opportunity
We are seeking a high-level AI Tech Lead / Architect to drive a major digital transformation for a Tier-1 Global Financial Institution. This is not a standard chatbot project. You will be responsible for architecting "Agentic AI" solutions - designing autonomous multi-agent systems that can orchestrate complex workflows, communicate with one another, and integrate securely with enterprise banking systems.
Key Responsibilities
- Agentic AI Architecture: Architect end-to-end GenAI solutions using Google Cloud Platform (GCP), specifically leveraging Vertex AI APIs and the Agent Development Kit (ADK).
- Multi-Agent Ecosystems: Design architectures that support Agent-to-Agent (A2A) communication, orchestration, and collaboration across diverse business functions.
- LLM Strategy & RAG: Define model selection, fine-tuning strategies, and build Retrieval-Augmented Generation (RAG) pipelines to ensure contextual accuracy and reduced hallucinations.
- Context Engineering: Establish frameworks for memory retention using embedding stores, Vector Databases, and persistence strategies.
- Integration: Architect prompt management and function-calling layers to seamlessly integrate AI agents with backend APIs, microservices, and UI/UX layers.
- Governance & Compliance: Implement strict observability and governance frameworks to ensure all GenAI deployments meet enterprise data security and regulatory standards.
Skills & Requirements
- Mandatory: Proven experience in Application Architecture.
- Tech Stack: Deep expertise in Google Cloud Platform (GCP), Vertex AI, and Gemini Models.
- AI Frameworks: Strong hands-on experience with LangChain, Vector Databases (Pinecone, Weaviate, etc.), and LLMOps tools.
- Domain: Experience delivering AI/GenAI use cases within Banking or highly regulated industries is a significant plus.
Why Apply?
- Work on the cutting edge of Agentic AI and Multi-agent orchestration.
- Lead the architectural strategy for a massive enterprise-scale deployment.
- Hybrid working model based in Sheffield.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
AI Tech Lead/Architect employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Tech Lead/Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Tech Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving GCP and AI architectures. We want to see your hands-on experience with multi-agent systems and how you’ve tackled complex workflows.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Agentic AI and the latest trends in the field. We recommend practising common interview questions related to AI architecture and being ready to discuss your strategies for model selection and integration.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in GCP, AI frameworks, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Agentic AI and how your background makes you the perfect fit for this role. Let us know what excites you about working with a Tier-1 Global Financial Institution.
Showcase Your Projects: If you've worked on any relevant projects, especially in banking or regulated industries, make sure to mention 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 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 us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Google Cloud Platform, Vertex AI, and the specific AI frameworks mentioned in the job description. Brush up on your knowledge of LangChain and Vector Databases, as these will likely come up during technical discussions.
✨Showcase Your Architectural Skills
Prepare to discuss your previous experience in application architecture, especially in relation to AI solutions. Be ready to explain how you've designed systems that support multi-agent communication and orchestration, as this is a key responsibility for the role.
✨Demonstrate Your Understanding of Compliance
Since this role involves working within highly regulated industries, be prepared to talk about how you’ve implemented governance and compliance frameworks in past projects. Highlight any experience you have with data security and regulatory standards.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company’s approach to Agentic AI and their vision for the project. This shows your genuine interest and helps you assess if the role aligns with your career goals.
