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GCP AI Architect
Job in
Woodbridge Township, Middlesex County, New Jersey, 07095, USA
Listed on 2026-07-09
Listing for:
Persistent Systems
Full Time
position Listed on 2026-07-09
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Role: GCP GenAI/ Agentic AI Architect
Location:
New Jersey (Onsite)
- 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 audiences.
- Experience 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 with AI 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.
- Competitive salary and benefits package
- Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
- Opportunity to work with cutting‑edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and ‘Long Service’ awards
- Annual health check‑ups as well as insurance:
- Group term life insurance
- Mediclaim hospitalization insurance for self, spouse, two children, and parents
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