GenAI Architect
Santa Clara CA(Hybrid)
Contract
Roles & Responsibilities:
- Design end-to-end GenAI/Agentic AI architectures using Client BluePrints NIMs NeMo frameworks and related offerings.
- Define and implement agent-based patterns leveraging frameworks such as LangChain LangGraph CrewAI or Autogen or MS Semantic.
- Lead the integration of AI agents and GenAI functionalities with broader IT ecosystems via APIs and secure workflows.
- Ensure system designs meet enterprise requirements for security data privacy explainability and scalability.
- Develop solution blueprints and technical documentation for agentic approaches.
- Guide and mentor technical teams on GenAI and agent-based architectural considerations deployment and CI/CD best practices.
Experience & Qualifications:
- Bachelors/Masters degree in Computer Science Engineering or equivalent.
- 12 years in software architecture / AI / ML and with a minimum of 2 years in GenAI system design.
- Familiarity with multi-agent systems prompt engineering and agentic orchestration tools.
- Solid understanding of security compliance and explainability in AI systems.
- Excellent communication and leadership skills.
- Client BluePrints NIMs and NeMo frameworks are good to have.
Primary Skills (Mandatory):
- Experience in Python programming along with writing REST APIs using FastAPI / Django / Flask.
- Experience working with LangChain LangGraph libraries strong prompt engineering and tool-calling patterns.
- Agentic AI GenAI Application solutioning/development using LangChain LangGraph CrewAI or Autogen or MS Semantic Kernel.
- Knowledge of Agentic AI concepts like A2A MCP
GenAI Architect Santa Clara CA(Hybrid) Contract Roles & Responsibilities: Design end-to-end GenAI/Agentic AI architectures using Client BluePrints NIMs NeMo frameworks and related offerings. Define and implement agent-based patterns leveraging frameworks such as LangChain LangGraph CrewAI or Au...
GenAI Architect
Santa Clara CA(Hybrid)
Contract
Roles & Responsibilities:
- Design end-to-end GenAI/Agentic AI architectures using Client BluePrints NIMs NeMo frameworks and related offerings.
- Define and implement agent-based patterns leveraging frameworks such as LangChain LangGraph CrewAI or Autogen or MS Semantic.
- Lead the integration of AI agents and GenAI functionalities with broader IT ecosystems via APIs and secure workflows.
- Ensure system designs meet enterprise requirements for security data privacy explainability and scalability.
- Develop solution blueprints and technical documentation for agentic approaches.
- Guide and mentor technical teams on GenAI and agent-based architectural considerations deployment and CI/CD best practices.
Experience & Qualifications:
- Bachelors/Masters degree in Computer Science Engineering or equivalent.
- 12 years in software architecture / AI / ML and with a minimum of 2 years in GenAI system design.
- Familiarity with multi-agent systems prompt engineering and agentic orchestration tools.
- Solid understanding of security compliance and explainability in AI systems.
- Excellent communication and leadership skills.
- Client BluePrints NIMs and NeMo frameworks are good to have.
Primary Skills (Mandatory):
- Experience in Python programming along with writing REST APIs using FastAPI / Django / Flask.
- Experience working with LangChain LangGraph libraries strong prompt engineering and tool-calling patterns.
- Agentic AI GenAI Application solutioning/development using LangChain LangGraph CrewAI or Autogen or MS Semantic Kernel.
- Knowledge of Agentic AI concepts like A2A MCP
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