Senior Gen AI Architect
Listed on 2026-09-20
-
Software Development
AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer, Python
Role :
Senior Gen AI Architect Location: New York City / New Jersey City
Hybrid
FTE
Job Description
We are looking for a Senior Gen AI Architect with strong expertise in Data Engineering, Analytics, Generative AI, and Agentic AI workflows. The candidate will design and build scalable AI-driven solutions that leverage enterprise data, LLMs, RAG, and agent-based architectures.
Key Responsibilities:
- Design and develop Gen AI and Agentic AI applications using Python and modern AI frameworks.
- Build scalable data pipelines, data processing, and analytics solutions.
- Develop LLM/RAG-based applications integrating enterprise data sources.
- Design and implement agentic workflows, AI agents, orchestration, and tool integrations.
- Work with structured and unstructured data to support AI and analytics use cases.
- Integrate LLMs with APIs, databases, knowledge sources, and enterprise platforms.
- Implement evaluation, monitoring, security, and governance for Gen AI solutions.
- Collaborate with Data Engineers, Data Scientists, Architects, and business stakeholders.
- Drive solutions from POC/prototype through production deployment.
Must-Have Skills
- 15+ years of software/data engineering experience
- Agentic AI / AI Agents / Agent Orchestration
- Strong Data Engineering & Analytics
- SQL and modern data platforms
- Experience with APIs, microservices, and cloud platforms
- Experience with LLM frameworks such as Lang Chain, Lang Graph, or similar
- Strong understanding of AI architecture, data architecture, and enterprise integration
- Excellent communication and stakeholder management skills
Job Description
Role :
Senior Gen AI Architect Location: New York City / New Jersey City
Hybrid
FTE
Job Description
We are looking for a Senior Gen AI Architect with strong expertise in Data Engineering, Analytics, Generative AI, and Agentic AI workflows. The candidate will design and build scalable AI-driven solutions that leverage enterprise data, LLMs, RAG, and agent-based architectures.
Key Responsibilities:
- Design and develop Gen AI and Agentic AI applications using Python and modern AI frameworks.
- Build scalable data pipelines, data processing, and analytics solutions.
- Develop LLM/RAG-based applications integrating enterprise data sources.
- Design and implement agentic workflows, AI agents, orchestration, and tool integrations.
- Work with structured and unstructured data to support AI and analytics use cases.
- Integrate LLMs with APIs, databases, knowledge sources, and enterprise platforms.
- Implement evaluation, monitoring, security, and governance for Gen AI solutions.
- Collaborate with Data Engineers, Data Scientists, Architects, and business stakeholders.
- Drive solutions from POC/prototype through production deployment.
Must-Have Skills
- 15+ years of software/data engineering experience
- Strong Python
- Generative AI / LLM / RAG
- Agentic AI / AI Agents / Agent Orchestration
- Strong Data Engineering & Analytics
- SQL and modern data platforms
- Experience with APIs, microservices, and cloud platforms
- Experience with LLM frameworks such as Lang Chain, Lang Graph, or similar
- Strong understanding of AI architecture, data architecture, and enterprise integration
- Excellent communication and stakeholder management skills
Performance Architect
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