AI Tech Lead/Architect

About Us:-

Net2Source Inc. is one of the fastest growing diversities certified global workforce solutions companies with an unprecedented YoY growth of over 100% for last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East.

About the Role:

Job Title – AI Tech Lead/Architect

Location – Sheffield, UK

Mode of Work – Hybrid 2 Days Onsite per Week

Type of Hiring – Fixed Term Employment (FTE)

Project Duration – 6 to 12 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 multiagent architectures supporting Agent to Agent A2A communication orchestration and collaboration across diverse enterprise functions
• Define LLM solution strategy model selection finetuning 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 UIUX 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.