C2C | GCP GenAI​/Agentic AI Architect C2C

Role-GCP GenAI/ Agentic AI Architect

Location-Warren, New Jersey

Experience
- Minimum 15 years of experience required

Job Summary:

Mandatory skills –Agentic AI Frameworks Langshan, Lang Graph, CrewAI, VertexAI, Autogen etc.

Good to have skills can be mentioned:
Cloud Native, Microservice Architecture

15+ years in software/solution architecture, proven experience as a Data Scientist or ML Engineer with exposure to agent-based AI systems.
Design & Implement Agentic AI systems using agent frameworks(Auto Gen, Lang Graph, CrewAI,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 AI platforms from AWS, Azure, or GCP (e.g., Bedrock, Azure OpenAI, Vertex AI).
Experience on AI for Engineering & working withAI 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 GenAI applications.

Develop and promote reusable architectural patterns, best practices, and governance frameworks for GenAI development.
Lead the end-to-end architectural design of Generative AI 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 APIs & know API Security, Versioning
Must have experience designing Cloud Native applications on any cloud such as AWS, Azure, GCP, 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 AI-powered solutions.
Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audience