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GCP AI Architect

Job in Woodbridge Township, Middlesex County, New Jersey, 07095, USA
Listing for: Persistent Systems
Full Time position
Listed on 2026-07-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Role: GCP GenAI/ Agentic AI Architect

Location:

New Jersey (Onsite)

What You Will Do
  • 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.
Expertise You'll Bring
  • 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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