At a Glance
- Tasks: Lead the design of innovative AI solutions for a top-tier financial institution.
- Company: Join a leading tech firm transforming the banking sector with cutting-edge AI.
- Benefits: Enjoy hybrid work, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: Expertise in GCP, AI frameworks, and experience in regulated industries required.
- Other info: Dynamic role with a focus on innovation and collaboration.
The predicted salary is between 72000 - 108000 Β£ 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 in Sheffield employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Tech Lead/Architect in Sheffield
β¨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes itβs not just what you know, but who you know that can help you land that dream role.
β¨Tip Number 2
Prepare for those 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.
β¨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We want to see how you've tackled challenges in AI and what innovative solutions you've come up with.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs 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 π«‘
Check Your CV: Before you hit that apply button, give your CV a good once-over. Make sure it highlights your experience with GCP and AI architecture, as these are key for the role.
Tailor Your Application: Donβt just send in a generic application! Tailor your cover letter to reflect how your skills align with the responsibilities of architecting Agentic AI solutions. We want to see your passion for the role!
Showcase Relevant Experience: When detailing your experience, focus on projects where you've worked with multi-agent systems or GCP. Highlight any specific achievements that demonstrate your expertise in AI frameworks and compliance.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity!
How to prepare for a job interview at Randstad Technologies Recruitment
β¨Know Your Tech Stack Inside Out
Make sure youβre well-versed in Google Cloud Platform, Vertex AI, and the specific tools mentioned in the job description. Brush up on your knowledge of LangChain and Vector Databases, as these will likely come up during technical discussions.
β¨Showcase Your Architectural Skills
Prepare to discuss your previous experience with application architecture, especially in the context of 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.
β¨Demonstrate Your Domain Knowledge
Since this role is within a highly regulated industry, itβs crucial to highlight any relevant experience you have in banking or similar sectors. Discuss specific projects where youβve implemented AI solutions while adhering to compliance and governance standards.
β¨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the companyβs approach to Agentic AI and their expectations for the role. This shows your genuine interest and helps you assess if the position aligns with your career goals.