Sibitalent Corp
GenAI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Architect in Warren, NJ (Hybrid) with a contract length and a pay rate of "unknown." Key skills include Agentic AI Frameworks, cloud-native platforms, microservice architecture, and proficiency in Python. Requires 15+ years in software/solution architecture and experience with AI systems.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Warren, NJ
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #AI (Artificial Intelligence) #Programming #Security #Azure #Spring Boot #Logging #Python #REST API #Langchain #Deployment #REST (Representational State Transfer) #Monitoring #Docker #Data Science #Cloud #Scala #Databases #Java #GCP (Google Cloud Platform) #Kubernetes #ML (Machine Learning) #API (Application Programming Interface) #Spring Cloud
Role description
Hi,
Hope you are doing well.
Role : GenAI Architect
Location : Warren, NJ (Hybrid)
Contract
Mandatory skill - Agentic AI Frameworks Langchain, LangGraph, CrewAI, Vertex.AI, Autogen etc.)
Good to have skills can be mentioned here : 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
Sonu Pal
sonu.pal@sibitalent.com
Sibitalent Corp
101 E. Park Blvd., Suite 600
Plano, TX - 75074
www.sibitalent.com
Hi,
Hope you are doing well.
Role : GenAI Architect
Location : Warren, NJ (Hybrid)
Contract
Mandatory skill - Agentic AI Frameworks Langchain, LangGraph, CrewAI, Vertex.AI, Autogen etc.)
Good to have skills can be mentioned here : 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
Sonu Pal
sonu.pal@sibitalent.com
Sibitalent Corp
101 E. Park Blvd., Suite 600
Plano, TX - 75074
www.sibitalent.com
