Senior Artificial Intelligence Engineer

Job Title: AI Specialist

Location: Kalyani Neptune - Bannerghatta - Bangalore / Mumbai - Andheri East

Experience: 7 - 12 Years

Job Overview:

AI Lead Engineer for Guided Buying Chatbot

Seeking a skilled AI Lead Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem.

The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence.

Key Responsibilities & Required Expertise:

1. Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval.

2. Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows.

3. Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management.

4. Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction.

5. Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring.

6. Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding.

7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning.

8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows.

9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments.

10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.

Mandatory Skills:

• Azure AI Studio / Foundry, Azure OpenAI (GPT-4/4o), Prompt Flow, RAG using Azure Cognitive Search, and Azure-native embedding models.
• Candidate should be able to design the knowledge architecture, manage training pipelines.
• Should have a solid understanding of AI security, data privacy, and the limitations around training data usage.

Interested candidates kindly share resumes on shikha@digifocal.in