AI Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Design and deploy enterprise-grade AI agents and intelligent automation using Microsoft Copilot Studio, AWS AI Services, and modern Generative AI frameworks. Build multi-agent workflows, conversational assistants, and RAG-based knowledge solutions while integrating REST APIs, enterprise data sources, and cloud-native services. Develop AI pipelines supporting prompt engineering, tool calling, and memory management, alongside backend services, observability, and content safety guardrails. Deliver 3–5 production agents within the first 12 months to reduce manual effort and improve productivity.
Required Qualifications
- Minimum 2 years working with Generative AI solutions
- Hands-on experience building AI assistants or AI agents
- Experience with AWS cloud-native development
- Python
- JavaScript / TypeScript
- SQL
- REST APIs
- Microsoft Copilot Studio
- Power Automate
- Dataverse
- Power Platform
- Microsoft Graph
- Azure OpenAI
- Amazon Bedrock
- Claude
- Knowledge Bases
- Lambda
- Step Functions
- DynamoDB
- S3
- API Gateway
- RAG
- Agentic AI
- Prompt Engineering
- Vector Databases
- Semantic Search
- LLM Evaluation
- AI Guardrails
- MCP (Model Context Protocol)
- Location: India
- Bangalore or NTT DATA Offices across India, Karnātaka (IN-KA), India
Desired Qualifications
- Experience with Microsoft Power Platform and Copilot Studio
- Experience with healthcare, life sciences, or MedTech environments
- Experience with enterprise search platforms
- Experience integrating SAP, Salesforce, ServiceNow, or M365 ecosystems
- Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
- Experience implementing AI governance and responsible AI controls
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