Azure AI; Agentic Specialist - Team Lead; Remote
Remote / Online - Candidates ideally in
Wasilla, Matanuska-Susitna Borough, Alaska, 99623, USA
Listed on 2026-06-02
Wasilla, Matanuska-Susitna Borough, Alaska, 99623, USA
Listing for:
NorthBay Solutions
Remote/Work from Home
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Cloud Computing
Job Description & How to Apply Below
Overview
Role:
Team Lead - Azure AI (Agentic) Engineer
Location: India (Remote)
Client:
Middle East (Government)
North Bay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliberAzure AI Specialist (Team Lead) with deep expertise in building enterprise-grade Generative AI, RAG, and Agentic AI solutions on the Azure ecosystem.
This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
Key Responsibilities- Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
- Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
- Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
- Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
- Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
- Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
- Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
- Design intelligent conversational systems with fallback handling and contextual memory
- Build and manage MLOps pipelines using Azure Machine Learning
- Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
- Proven expertise in building RAG pipelines using Azure AI Search
- Experience with vector databases and hybrid search architectures
- Practical experience in Agentic AI / multi-agent systems
- Hands-on with Azure AI Document Intelligence (Form Recognizer)
- Solid understanding of Knowledge Graphs and semantic modeling
- Expertise in prompt engineering & LLM optimization techniques
- Experience with Prompt Flow (Azure AI Studio)
- Strong background in Python and cloud-native development
- Experience with Azure ML / MLOps pipelines
- Ability to design scalable and secure enterprise AI architectures
- Experience with Lang Chain, Semantic Kernel, or similar frameworks
- Exposure to multi-agent orchestration tools
- Prior experience working with enterprise clients or large-scale AI deployments
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