AI engineer

Hsbc; Bengaluru; On-site; INR 20,00,000 - 25,00,000; Full time

Job summary

A global banking and financial services firm is seeking an AI Lead in Bengaluru with extensive experience in AI/ML. The role involves leading the design and development of intelligent solutions using Microsoft AI technologies. The ideal candidate should possess deep understanding in natural language processing, enterprise integration, and have strong communication skills for stakeholder engagement. This opportunity offers a dynamic environment fostering innovation in AI solutions.

Qualifications

• 68 years of overall experience, including 5+ years in AI/ML or Conversational AI.
• Deep hands-on knowledge of Azure OpenAI services and APIs.
• Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT).

Responsibilities

• Lead technical implementation of AI-driven projects using Microsoft AI tools.
• Design and develop intelligent copilots and multi-turn chatbots.
• Collaborate to identify high-value use cases and define solution roadmaps.

Skills

AI/ML experience

Deep knowledge of Azure OpenAI services

Proficiency in Python or Node.js

Expertise in Microsoft Bot Framework

Knowledge in natural language processing (NLP)

Strong communication skills

Experience with APIs and integrations

Tools

Azure OpenAI

Copilot Studio

Bot Framework SDK

Azure ML

Azure Cognitive Services

Job description

Overview

We are seeking a dynamic and technically strong AI Lead with 68 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsofts AI ecosystem

The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry

Key Responsibilities

• Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework
• Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365
• Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems
• Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization
• Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc)
• Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps
• Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines
• Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences
• Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring
• Create documentation and reusable components/templates for repeated use across the organization
• Stay current on Microsofts AI advancements and recommend tools, features, or practices that improve time-to-value and performance

Must-Have Skills

• 68 years of overall experience, including 5+ years in AI/ML or Conversational AI
• Deep hands-on knowledge of: Azure OpenAI services and APIs
• Copilot Studio for building Microsoft 365-integrated assistants
• Microsoft Bot Framework SDK/Composer for chatbot development
• Prompt engineering for LLM optimization
• Strong Python or Nodedot js development skills (for AI orchestration and integration)
• Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth)
• Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps
• Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search)
• Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT)
• Excellent communication, leadership, and stakeholder engagement capabilities

Good-to-Have Skills

• Experience with Semantic Kernel or LangChain
• Working knowledge of AI Foundry for orchestrating AI pipelines
• Familiarity with Copilot extensibility and Teams App Studio
• Exposure to M365 Copilot APIs and custom plugin creation
• Knowledge of Responsible AI, data security, and compliance principles
• Familiarity with containerized deployment (Docker, Kubernetes)
• Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance
• Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI