Senior AI Engineer (Snowflake Cortex AI)

EPAM Systems, Inc.

Poland

Hybrid

PLN 240,000 - 420,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model
Relocation opportunities
Employee stock purchase plan (15% off)
English classes
Health insurance

Job summary

EPAM Systems, Inc. seeks a Senior AI Engineer to define, build, test, and fine-tune AI agents enabling natural-language querying of enterprise data. You’ll craft agent workflows and guardrails, integrate with semantic models, and evaluate outputs for accuracy, security, and business value.

You will work primarily in Snowflake, leveraging Cortex components, with AWS Bedrock experience a plus. Strong SQL and communication skills are essential, and English proficiency is required.

Qualifications

  • 5+ years of experience in data analytics, AI engineering, or related fields.
  • Practical experience with agent configuration and GenAI-assisted analytics, building 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 both technical and business audiences.
  • Proficiency in English at a B2+ level.

Responsibilities

  • 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, with AWS Bedrock experience considered an advantage.
  • 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 strong SQL, analytical thinking, and troubleshooting skills to daily work.

Skills

SQL
GenAI analytics
Data analysis
Troubleshooting
Communication

Tools

Snowflake Cortex
Cortex Agents
Cortex Analyst
Snowflake
AWS Bedrock
Python
Git
APIs

Job description

We are looking for an experienced Senior AI Engineer to join the team and help define, build, test, and fine-tune AI agents that allow business users to ask natural-language questions about enterprise data. The solution is being developed primarily in Snowflake, but experience with other solutions would also be highly valuable.ResponsibilitiesDefine, configure, test, and continuously improve AI agents for analytical use casesDevelop agent instructions, workflows, tools, guardrails, and evaluation criteriaBuild agents primarily within Snowflake, with AWS Bedrock experience considered an advantageIntegrate agents with semantic models, governed data products, and business metricsEvaluate response accuracy, relevance, consistency, security, and business valueCollaborate with technical teams and business stakeholders to translate requirements into reliable agent capabilitiesEstablish documentation, testing standards, monitoring practices, and lifecycle management for agentsApply strong SQL, analytical thinking, and troubleshooting skills to daily workRequirements5+ years of experience in data analytics, AI engineering, or related fieldsPractical experience with agent configuration and GenAI-assisted analytics, building analytical solutions that allow users to ask natural-language questions about enterprise dataProficiency in SQL and data analysisHands-on experience with Snowflake, including Snowflake Cortex, Cortex Agents, and Cortex AnalystUnderstanding of Snowflake data, security, and access-control conceptsAbility to understand semantic models, business metrics, and relationships between data entitiesExperience evaluating GenAI outputs and systematically identifying quality gapsStrong analytical and problem-solving skills, with attention to detailUnderstanding of agent observability, evaluation metrics, automated testing, and cost monitoringAbility to communicate technical concepts clearly to both technical and business audiencesProficiency in English at a B2+ levelNice to haveKnowledge of AWS BedrockFamiliarity with Retrieval-Augmented Generation, embeddings, and vector search, and grounding techniquesExperience with Python, APIs, and GitSnowflake or AWS certificationWe offerWe gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusivelyEPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
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