AI Engagement Senior Architect (VISA Sponsorship Provided)
Design and develop end-to-end GenAI and Agentic AI solutions using Google Cloud Platform GCP. Define LLM solution strategy, model selection, fine-tuning, grounding, and retrieval augmented generation RAG pipelines for contextual accuracy. Collaborate with Data Engineers, AI Engineers, and Product teams to translate business requirements into scalable AI blueprints.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
**Sponsorship Provided**
Role - AI Engagement Senior Architect (VISA Sponsorship Provided)
Mode - 2-3 Days a week from the office
Mode - Contract (12 Months)
Searching for Development & Programming roles that provide visa sponsorship? Connect with international employers through Development & Programming Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
- VISA Sponsorship is provided for this role.
- 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 agents 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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Skills
Mandatory Skills : Application Architecture
Good to Have Skills : LangChain, Amazon Bedrock, Architecture Patterns and Styles, Generative AI/Open AI/Vector DB
Recruiter's Email : shikharsharma@thriveitsystems.com
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