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    Home/Jobs/Agentic AI Architect

    Agentic AI Architect

    Sonata Software

    Bengaluru / Hyderabad
    11-16 years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Agentic AI
    Gen AI
    Agentic AI architectures
    Agentic AI systems
    LangChain
    Vector Database
    knowledge retrieval systems
    Amazon Bedrock
    LangGraph
    Strands
    CrewAI
    AutoGen
    AWS

    Description

    Sonata Software is a leading AI-first Modernization Engineering company with a strong global presence and partnerships with major technology providers. They are seeking an experienced AI Architect to design and deliver enterprise-grade AI solutions on AWS.

    Company: Sonata Software

    Role: Agentic AI Architect

    Location: Bangalore/Hyderabad

    Experience:

    • 11 to 16 years
    • 10+ years of software engineering/architecture experience with recent focus on AI/GenAI solutions

    Key Skills:

    • AI Architect
    • Generative AI
    • Agentic AI systems
    • AWS
    • Amazon Bedrock
    • AWS CDK
    • Infrastructure as Code
    • Python
    • RESTful APIs
    • microservices
    • event-driven systems
    • AWS Lambda
    • Step Functions
    • API Gateway
    • EventBridge
    • SQS
    • SNS
    • TypeScript
    • RAG architectures
    • vector databases
    • knowledge retrieval systems
    • enterprise search
    • AI governance
    • model evaluation
    • observability
    • prompt engineering
    • responsible AI
    • agent frameworks (LangChain, LangGraph, Strands, CrewAI, AutoGen)

    Role Focus:

    • Architect and lead design of scalable, secure, production-ready AI platforms on AWS
    • Define end-to-end AI solution architectures including LLM integration, agent orchestration, RAG, APIs, and cloud infrastructure
    • Design and implement Agentic AI workflows involving tool usage, planning, reasoning, memory, and multi-agent collaboration
    • Establish architecture standards, governance, security, observability, and operational best practices for AI applications
    • Collaborate with business and engineering teams to translate business requirements into AI-driven solutions
    • Drive technical decisions, technology selection, and architecture reviews across AI initiatives

    Additional responsibilities:

    • Demonstrate ownership of production AI architecture and delivery on AWS
    • Provide architecture leadership, stakeholder management, and technical decision-making
    • Scale AI solutions from concept to enterprise-wide adoption
    • Ensure cloud security, compliance, performance optimization, and operational excellence

    Nice to have:

    • Experience with agent frameworks such as LangChain, LangGraph, Strands, CrewAI, AutoGen, or similar
    • Hands-on experience with AWS Lambda, Step Functions, API Gateway, EventBridge, SQS, and SNS
    • Knowledge of TypeScript for AWS CDK and cloud application development
    • Experience with RAG architectures, vector databases, knowledge retrieval systems, and enterprise search
    • Familiarity with AI governance, model evaluation, observability, prompt engineering, and responsible AI practices
    • Experience integrating AI capabilities into enterprise applications and business workflows

    Other:

    • Sonata Software has over $1.2 Billion revenue and 6400+ AI engineers
    • Powered by PlatformationTM framework
    • Strong global presence including US, UK, India, Malaysia, Mexico, Australia, DACH, and Nordics
    • Trusted partner of Fortune 500 companies in multiple industries
    • Deep collaborations with Microsoft, AWS, Salesforce, and Snowflake
    • Part of Microsoft Inner Circle and AWS Premier Tier Status
    • Equal Opportunity Employer encouraging diversity in the workplace

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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