Azure AI (Agentic) Specialist - Team Lead (Remote)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 15d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 12h ago.
We have tracked this listing since 18 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 12 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
India
No source stated where this role may be worked. This is read from the ad's own words.
What the ad says
…Location: India (Remote)…
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
JazzHR employer's own board first seen 15d ago · last seen 12h ago
- location not stated
The listing
Role: Team Lead - Azure AI (Agentic) Engineer
Location: India (Remote)
Client: Middle East (Government)
About the Role:
NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber Azure 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
Required Skills & Experience
- 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
Nice to Have
- Experience with LangChain, Semantic Kernel, or similar frameworks
- Exposure to multi-agent orchestration tools
- Prior experience working with enterprise clients or large-scale AI deployments