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 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 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
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