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описание
EPAM develops enterprise software products, open source solutions, and accelerators. The AI solution enables business users to ask natural-language questions about enterprise data.
задачи
Define, configure, test, and continuously improve AI agents for analytical use cases;
Develop agent instructions, workflows, tools, guardrails, and evaluation criteria;
Build agents primarily within Snowflake;
Integrate agents with semantic models, governed data products, and business metrics;
Evaluate response accuracy, relevance, consistency, security, and business value;
Collaborate with technical teams and business stakeholders to translate requirements into reliable agent capabilities;
Establish documentation, testing standards, monitoring practices, and lifecycle management for agents;
Apply SQL, analytical thinking, and troubleshooting skills to daily work.
требования
5+ Years of experience in data analytics, AI engineering, or related fields;
Practical experience with agent configuration and GenAI-assisted analytics, including analytical solutions that allow users to ask natural-language questions about enterprise data;
Proficiency in SQL and data analysis;
Hands-on experience with Snowflake, including Snowflake Cortex, Cortex Agents, and Cortex Analyst;
Understanding of Snowflake data, security, and access-control concepts;
Ability to understand semantic models, business metrics, and relationships between data entities;
Experience evaluating GenAI outputs and systematically identifying quality gaps;
Strong analytical and problem-solving skills with attention to detail;
Understanding of agent observability, evaluation metrics, automated testing, and cost monitoring;
Ability to communicate technical concepts clearly to technical and business audiences;
English proficiency at a B2+ level;
Nice to have: Knowledge of AWS Bedrock, familiarity with Retrieval-Augmented Generation, embeddings, vector search, and grounding techniques, experience with Python, APIs, and Git, Snowflake or AWS certification.
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