Veridian Tech Solutions, Inc.
GCP GenAI/ Agentic AI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP GenAI/Agentic AI Architect in New Jersey on a contract basis. Requires 15+ years in software architecture, expertise in Agentic AI frameworks, proficiency in Python, and experience with cloud-native applications and microservices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Java #Deployment #GCP (Google Cloud Platform) #Logging #Security #Monitoring #REST (Representational State Transfer) #Python #Spring Boot #Scala #AI (Artificial Intelligence) #Langchain #Programming #ML (Machine Learning) #Spring Cloud #Azure #Cloud #Kubernetes #Databases #Docker #Data Science #AWS (Amazon Web Services) #REST API #API (Application Programming Interface)
Role description
Hi,
Hope you are doing good!
We have a Contract opportunity for you as GCP GenAI/ Agentic AI Architect @ New Jersey (Onsite)
Role: GCP GenAI/ Agentic AI Architect
Locations: New Jersey (Onsite)
Type of Hiring: Contract
Detailed JD:
Mandatory skills - Agentic AI Frameworks Langchain, LangGraph, 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 (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 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.
• 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
Hi,
Hope you are doing good!
We have a Contract opportunity for you as GCP GenAI/ Agentic AI Architect @ New Jersey (Onsite)
Role: GCP GenAI/ Agentic AI Architect
Locations: New Jersey (Onsite)
Type of Hiring: Contract
Detailed JD:
Mandatory skills - Agentic AI Frameworks Langchain, LangGraph, 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 (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 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.
• 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
