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    Job · 13740708

    HYDERABAD · FULLTIME

    AI Agent Engineer – Data Engineering

    Virtusa Consulting Services logo

    Virtusa Consulting Services

    Hyderabad · onsite · Posted 57d ago

    Sourced fromNaukri
    ₹15.0L - ₹28.0L PA6–10 yrsfulltimeHyderabad

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

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    Section · 01

    About this role

    Primary Focus: 

    • Development, orchestration, and maintenance of the agentic framework that automates the engineering lifecycle. 

    Secondary Focus: 

    • Technical execution and delivery of the Data Engineering lifecycle (Discover, Build, Test, Deploy). 6+ Years Experience AI Agent Engineer 


    Key Responsibilities: 

    • Develop and refine agentic workflows using the Snowflake CoCo (CoCo) harness. 

    • Integrate LLMs, Cortex AI models, and orchestration logic to automate discovery, impact analysis, build, and testing stages. 

    • Build "Specification Driven Development" (SDD) capabilities, creating machine-readable instructions for data products. 

    • Collaborate with Data Engineers to convert manual engineering tasks into autonomous agentic patterns. 

    • Drive technical execution for data product delivery and datasets optimized for enterprise consumption. 

    • Oversee core engineering layer components, including SQL Stored Procedures, DBT models, and DataOps.Live. 

    • Maintain code quality and minimize defects while ensuring full alignment with EDO governance standards Contribute to automated engineering lifecycles—covering ingestion through deployment—via platform-agnostic frameworks. 


    Essential Skills: 

    • AI/GenAI Engineering: Deep experience with Cortex Skills, LLM integration, and Retrieval-Augmented Generation (RAG) concepts. 

    • Agentic Frameworks: Proficiency in building and maintaining agentic workflows (e.g., CoCo CLI, Model Context Protocol). 

    • Foundational Knowledge: Solid background in data engineering (SQL, Python) to bridge the gap between AI capabilities and data platform requirements. 

    • Core Engineering Competencies: Advanced technical mastery of SQL, DBT models, and DataOps.Live (DOL) orchestration. 

    • Platform Expertise: Comprehensive proficiency across the Snowflake ecosystem and its integrated service offerings. 

    • Data Product Lifecycle: Strategic command of multi-tier architectures (Bronze, Silver, Gold) and the management of enterprise-grade data products.


    Sourced from naukri

    Section · 02

    Skills

    Retrieval Augmented GenerationCortex AILarge Language ModelPythonSQLSnowflakeAgentic AiGenerative Ai

    Section · Company

    About Virtusa Consulting Services

    Virtusa Consulting Services logo

    Virtusa Consulting Services

    IT Services & Consulting

    18.8k+

    employees

    1996

    30 years old

    Hyderabad / Secunderabad, Telangana

    India

    ₹13.7L PA avg

    Avg at Virtusa Consulting Services

    ₹15L – ₹28L PA

    This role

    About

    Virtusa help clients change, disrupt, and unlock new value that surpasses their wildest expectations not just to reach our best, but to redefine yours.

    Industries

    IT Services & Consulting

    Employee ratings

    10 reviews

    3.7/ 5

    Culture

    2.5

    Career growth

    2.0

    Work-life

    2.7

    Employees rate it well for

    Work-Life Balance37Overall Company37

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    AI Agent Engineer – Data Engineering · waiting for your command