Kubernetes Operations Engineer
Job Title: Senior Generative AI Lead (Azure)
Location:Jersey City,NJ
Candidates from NJ/NY preferred
Role Overview
We are seeking a highly experienced Generative AI Architect with deep expertise in designing and deploying enterprise-scale AI solutions using Microsoft Azure. The ideal candidate brings strong experience in LLMs, agentic AI, and advanced data science, with a proven track record of delivering production-grade AI systems across industries such as banking, healthcare, and enterprise SaaS.
Key Responsibilities
• Generative AI Solution Architecture Design and implement end-to-end GenAI systems leveraging Azure OpenAI Service and modern LLMs (e.g., GPT-4o) Architect scalable RAG (Retrieval-Augmented Generation) pipelines with vector databases and semantic search Build and orchestrate multi-agent systems using frameworks like LangChain, LangGraph, and CrewAI Define system architecture including APIs, microservices, and cloud-native deployments
• Azure AI & Cloud Implementation
Develop AI solutions using: Azure AI Studio / Azure AI Foundry Azure Cognitive Services Deploy secure, scalable applications on Azure (App Services, containers, serverless) Integrate AI workflows with enterprise platforms such as Microsoft Teams and Copilot Studio
• Advanced AI Engineering
Implement prompt engineering, fine-tuning (LoRA, QLoRA, DoRA), and model optimization techniques Develop intelligent systems for: Document processing (PDFs, images, structured/unstructured data) Semantic search and information retrieval Automated reasoning and decisioning systems Apply evaluation frameworks (RAGAS, LLM-as-Judge) for model performance and reliability
• Data Engineering & Integration
Design data pipelines and ingestion frameworks using Azure Data Factory and enterprise data sources Implement vector search using PostgreSQL (pgvector), ChromaDB, or Azure-based solutions Optimize retrieval using embeddings, cosine similarity, reranking, and top-k strategies
• MLOps, Deployment & Observability
Build and manage CI/CD pipelines for AI systems using Azure Machine Learning Ensure system observability, monitoring, and performance tuning Implement secure deployment practices, environment isolation, and governance
• Leadership & Collaboration
Lead cross-functional teams of data scientists, engineers, and product managers Provide architectural guidance and technical mentorship Translate business requirements into AI-driven solutions aligned with compliance and regulatory standards Drive innovation initiatives and enterprise AI adoption
Required Qualifications Experience
• 12+ years in software engineering with 8+ years in AI/ML
• Proven experience delivering production-grade GenAI systems
• Strong background in enterprise architecture and technical leadership
Technical Skills
• Expertise in Microsoft Azure ecosystem
• Strong proficiency in Python, FastAPI, and RESTful services
• Deep knowledge of: LLMs, embeddings, and vector databases RAG architecture and agentic AI systems NLP models (BERT, RoBERTa, ALBERT)
• Experience with tools/frameworks: LangChain, LangGraph, CrewAI Hugging Face, PyTorch, TensorFlow Streamlit, Docker, Kubernetes
Preferred Qualifications
• Certifications in Azure AI (e.g., Azure AI Engineer, Azure AI Fundamentals)
• Experience with Copilot Studio and enterprise AI assistants
• Exposure to multi-cloud environments (AWS SageMaker, etc.)
• Strong understanding of Responsible AI and governance.
For applications and inquiries, contact: [email protected]
Apply tot his job
Apply To this Job
Location:Jersey City,NJ
Candidates from NJ/NY preferred
Role Overview
We are seeking a highly experienced Generative AI Architect with deep expertise in designing and deploying enterprise-scale AI solutions using Microsoft Azure. The ideal candidate brings strong experience in LLMs, agentic AI, and advanced data science, with a proven track record of delivering production-grade AI systems across industries such as banking, healthcare, and enterprise SaaS.
Key Responsibilities
• Generative AI Solution Architecture Design and implement end-to-end GenAI systems leveraging Azure OpenAI Service and modern LLMs (e.g., GPT-4o) Architect scalable RAG (Retrieval-Augmented Generation) pipelines with vector databases and semantic search Build and orchestrate multi-agent systems using frameworks like LangChain, LangGraph, and CrewAI Define system architecture including APIs, microservices, and cloud-native deployments
• Azure AI & Cloud Implementation
Develop AI solutions using: Azure AI Studio / Azure AI Foundry Azure Cognitive Services Deploy secure, scalable applications on Azure (App Services, containers, serverless) Integrate AI workflows with enterprise platforms such as Microsoft Teams and Copilot Studio
• Advanced AI Engineering
Implement prompt engineering, fine-tuning (LoRA, QLoRA, DoRA), and model optimization techniques Develop intelligent systems for: Document processing (PDFs, images, structured/unstructured data) Semantic search and information retrieval Automated reasoning and decisioning systems Apply evaluation frameworks (RAGAS, LLM-as-Judge) for model performance and reliability
• Data Engineering & Integration
Design data pipelines and ingestion frameworks using Azure Data Factory and enterprise data sources Implement vector search using PostgreSQL (pgvector), ChromaDB, or Azure-based solutions Optimize retrieval using embeddings, cosine similarity, reranking, and top-k strategies
• MLOps, Deployment & Observability
Build and manage CI/CD pipelines for AI systems using Azure Machine Learning Ensure system observability, monitoring, and performance tuning Implement secure deployment practices, environment isolation, and governance
• Leadership & Collaboration
Lead cross-functional teams of data scientists, engineers, and product managers Provide architectural guidance and technical mentorship Translate business requirements into AI-driven solutions aligned with compliance and regulatory standards Drive innovation initiatives and enterprise AI adoption
Required Qualifications Experience
• 12+ years in software engineering with 8+ years in AI/ML
• Proven experience delivering production-grade GenAI systems
• Strong background in enterprise architecture and technical leadership
Technical Skills
• Expertise in Microsoft Azure ecosystem
• Strong proficiency in Python, FastAPI, and RESTful services
• Deep knowledge of: LLMs, embeddings, and vector databases RAG architecture and agentic AI systems NLP models (BERT, RoBERTa, ALBERT)
• Experience with tools/frameworks: LangChain, LangGraph, CrewAI Hugging Face, PyTorch, TensorFlow Streamlit, Docker, Kubernetes
Preferred Qualifications
• Certifications in Azure AI (e.g., Azure AI Engineer, Azure AI Fundamentals)
• Experience with Copilot Studio and enterprise AI assistants
• Exposure to multi-cloud environments (AWS SageMaker, etc.)
• Strong understanding of Responsible AI and governance.
For applications and inquiries, contact: [email protected]
Apply tot his job
Apply To this Job