Google Cloud Platform Agentic Al Architect

We are seeking a highly skilled Google Cloud Platform Agentic Al Architect experience in software/solution architecture, proven experience as a Data Scientist or ML Engineer with exposure to agent-based Al systems. Design & Implement Agentic Al systems using agent frameworks (AutoGen, LangGraph, CrewAl, etc.) to build multi-agent and goal-oriented systems.

About Position

Role: Google Cloud Platform GenAl/ Agentic Al Architect

Location: Paramus, NJ (Onsite)

Hire Type: 12+ months contract 

What you'll do:

• Lead the end-to-end architectural design of Generative Al applications, ensuring scalability, performance, security, cost-effectiveness, and maintainability.
• Proficiency in containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
• Must have experience working with Microservice architecture using Spring Boot Rest APls & know API
  Security, Versioning
• Must have experience designing CloudNative applications on any cloud such as AWS, Azure, Google Cloud Platform, Spring Cloud, PCF
• Programming proficiency in Python (preferred), and optionally Java/Node.js for integration.
• Collaborate with Data Scientists, Product Owners, and Business SMEs to translate business problems into Al-powered solutions.
• Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
  
  Expertise You'll Bring
• Experience in software/solution architecture, proven experience as a Data Scientist or ML Engineer with exposure to agent-based Al systems.
• Design & Implement Agentic Al systems using agent frameworks (AutoGen, LangGraph, CrewAl, etc.) to build multi-agent and goal-oriented systems.
• Proficiency in Prompt Engineering, few-shot prompting, chain-of-thought reasoning, and prompt templates.
• Familiarity with cloud-native Al platforms from AWS, Azure, or Google Cloud Platform (e.g., Bedrock, Azure OpenAl, Vertex Al).
• Experience on Al for Engineering & working with Al Code Assist tools (e.g., Copilot, Windsurf, Cursor)
• Experience working with Vector databases & design & deploy RAG pipelines, MCP Servers & A2A Implement robust LLMOPs - for continuous integration, deployment, monitoring, logging, and troubleshooting mechanisms for GenAl applications.
• Develop and promote reusable architectural patterns, best practices, and governance frameworks for GenAl development.