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- Tasks: Lead the design of innovative AI solutions and collaborate with diverse teams.
- Company: Fast-growing global workforce solutions company with a focus on diversity.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI technology and make a real impact in a dynamic environment.
- Qualifications: Experience in application architecture and familiarity with AI technologies.
- Other info: Join a team that values innovation and offers excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Net2Source Inc. is one of the fastest growing diversity certified global workforce solutions companies with an unprecedented YoY growth of over 100% for the last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and the Middle East.
About the Role:
- Location – Sheffield, UK
- Mode of Work – Hybrid 2 Days Onsite per Week
- Type of Hiring – Fixed Term Contract (FTC)
- Project Duration – 6 to 9 Months
Skills:
- Mandatory Skills: Application Architecture
- Good to Have Skills: Lang Chain, Amazon Bedrock, Architecture Patterns and Styles, Generative AI/Open AI/Vector DB
Detailed Job Description:
- 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 agent’s 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: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) 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 your 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 land you that AI Tech Lead gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI and application architecture. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and cloud technologies. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 application architecture and any relevant skills like Lang Chain or Generative AI. We want to see how your background fits our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool projects related to AI or application architecture, make sure to mention them! We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially in banking-related use cases.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Tech Inside Out
Make sure you’re well-versed in application architecture and the specific technologies mentioned in the job description, like Lang Chain and Amazon Bedrock. Brush up on your knowledge of Google Cloud Platform and its Vertex AI APIs, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've architected solutions in the past, especially around GenAI and Agentic AI. Think of specific examples where you’ve designed multi-agent architectures or implemented data pipelines, and be ready to explain your thought process and the outcomes.
✨Understand the Business Context
Since this role involves collaboration with various teams, it’s crucial to understand how AI can drive business value. Familiarise yourself with banking-related AI use cases, as this could give you an edge in demonstrating your relevance to the company’s needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future direction in AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to engage with your interviewers!
