PL
GCP GenAI/ Agentic AI Architect pik
PeopleNTech LLC
🇺🇸 United States
On-site
3 months ago
- GCP
- Machine Learning
- LangChain
- LangGraph
- CrewAI
- Vertex AI
- AutoGen
- AI
- AWS
- Azure
- Bedrock
- Azure OpenAI
- Copilot
- Cursor
- RAG
- MCP
- CI/CD
- Docker
- Kubernetes
- Spring Boot
- REST API
- Python
- Java
- Node.js
3 months ago
- Bill Sell Rate: $110/hr.
- Client Full Address: New Jersey
- Remote / WFO / Hybrid:WFO
- Hire Type (FTE/Contract):C2H
- Project Duration:8 Months, extendable
- Expected Start Date:8 Jul 26
- Day 1 Billing Confirmation:Yes
- No. of client interviews for this role:1 to 2
We have an urgent requirement ofGCPGenAI/ Agentic AI Architect for our customer,Everest Insurance.
Please find the required details, would request if you can share profiles quickly.
- Indent ID:SF_OP_205306-1-1
- Detailed JD:
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(AutoGen, LangGraph, 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 withVector 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 CloudNative 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 audiences
GCP GenAI/ Agentic AI Architect pik · PeopleNTech LLC