AI Engagement Senior Architect (VISA Sponsorship Provided)

Thrive IT Systems • Poland
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AI Summary

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
Design and develop end-to-end GenAI and Agentic AI solutions
Define LLM solution strategy and model selection
Collaborate with Data Engineers, AI Engineers, and Product teams
Technical Skills Required
Application Architecture LangChain Amazon Bedrock Architecture Patterns and Styles Generative AI/Open AI/Vector DB
Benefits & Perks
VISA Sponsorship Provided

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)




  • 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


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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