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    Job · 12895158

    NTT DATA BUSINESS SOLUTIONS logo

    AI Engineer

    NTT DATA BUSINESS SOLUTIONS · Bengaluru · onsite · Posted 61d ago

    Undisclosed2–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Req ID: phone_number
    We are currently seeking a AI Engineer to join our team in Bangalore or NTTDATA Offices across india, KarnAtaka (IN-KA), India (IN).
    AI Engineer (Agentic AI) AWS Microsoft Copilot Studio
    Location: India
    Job Summary
    We are seeking an experienced AI Engineer to design, develop, and deploy enterprise-grade AI agents and intelligent automation solutions using Microsoft Copilot Studio, AWS AI Services, and modern Generative AI frameworks.
    This role will focus on building AI-powered assistants, multi-agent workflows, enterprise search experiences, and intelligent process automation using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native AI services. The ideal candidate will bridge AI engineering, software engineering, and cloud architecture to deliver secure and scalable AI solutions.
    Copilot Studio capabilities are expected to include orchestration, knowledge grounding, connectors, flows, prompts, REST APIs, and integration with enterprise data sources.
    Key Responsibilities Agentic AI Development
    • Design and develop AI agents using Microsoft Copilot Studio.
    • Build multi-agent and agent-to-agent workflows.
    • Implement conversational AI, task automation, and intelligent assistants.
    • Develop enterprise knowledge assistants using RAG architectures.
    • Create reusable AI skills, tools, prompts, and orchestrations.
    Microsoft Copilot Studio
    • Develop and maintain Copilot Studio agents leveraging Dataverse, Power Automate, SharePoint, Microsoft Teams, REST APIs, and Enterprise Connectors.
    • Configure knowledge grounding from enterprise content repositories.
    • Design conversation flows, actions, prompts, and AI-driven workflows.
    • Build integrations with internal business systems and enterprise applications.
    • Copilot Studio implementations frequently involve orchestrators, knowledge sources, connectors, flows, prompts, APIs, and connected agents.
    AWS Generative AI Engineering
    • Build AI solutions using Amazon Bedrock (Claude Models, Knowledge Bases, Lambda, Step Functions, S3, API Gateway, DynamoDB, EventBridge).
    • Design AI pipelines supporting RAG, Prompt Engineering, Agent Frameworks, Tool Calling, Memory Management.
    • Deploy secure and scalable AI services in AWS.
    AI Application Development
    • Develop APIs and backend services supporting AI agents.
    • Implement LLM integrations and orchestration layers.
    • Build AI observability and monitoring capabilities.
    • Develop guardrails and content safety controls.
    • Support AI model evaluation and continuous improvement.
    Required Qualifications Experience
    • Minimum 2 years working with Generative AI solutions.
    • Hands-on experience building AI assistants or AI agents.
    • Experience with AWS cloud-native development.
    • Experience with Microsoft Power Platform and Copilot Studio preferred.
    Technical Skills Programming
    • Python
    • JavaScript / TypeScript
    • SQL
    • REST APIs
    Microsoft AI Stack
    • Microsoft Copilot Studio
    • Power Automate
    • Dataverse
    • Power Platform
    • Microsoft Graph
    • Azure OpenAI (Preferred)
    AWS AI Stack
    • Amazon Bedrock
    • Claude
    • Knowledge Bases
    • Lambda
    • Step Functions
    • DynamoDB
    • S3
    • API Gateway
    AI Engineering
    • RAG
    • Agentic AI
    • Prompt Engineering
    • Vector Databases
    • Semantic Search
    • LLM Evaluation
    • AI Guardrails
    • MCP (Model Context Protocol)
    Preferred Qualifications
    • 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.
    Success Metrics (First 12 Months)
    • Deliver 35 production AI agents supporting business processes.
    • Reduce manual effort through AI-driven automation.
    • Enable enterprise knowledge search and self-service support.
    • Improve employee productivity through Copilot-based experiences.
    • Successfully deploy AI solutions meeting governance and security requirements.

    Sourced from naukri

    Skills

    AutomationBedrockai developmentai assistantsapisai servicesai modelamazon web servicesai engineerAzure OpenAIai governanceBankingAPI GatewaysArchitectureApplication DevelopmentAi SolutionsMicrosoft AzureArtificial IntelligenceAutomation Solutions

    About NTT DATA Business Solutions

    NTT DATA BUSINESS SOLUTIONS logo

    NTT DATA BUSINESS SOLUTIONS

    IT Services & Consulting

    4k+

    employees

    1989

    37 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    NTT DATA Business Solutions helps clients innovate and transform through expert SAP solutions, advisory, implementation, and managed services.

    Industries

    IT Services & Consulting

    Employee ratings

    2,105 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.5

    Work-life

    4.0

    Employees rate it well for

    Work Life Balance176Salary146Senior Management116Work Culture99Work Environment83

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