Senior AI Data Engineer - Scalable Production Pipelines

EPAM Systems, Inc.; Turkey; On-site; TRY 4,423,000 - 7,371,000; Full time

Benefits offered by this job

Private health insurance

Extra leave days

Referral bonuses

Job summary

EPAM Systems, Inc. seeks a Senior Data Engineer with AI to architect and build scalable AI workflows that merge models, prompts, and enterprise data into production-ready solutions.

You will design and maintain AI deployment pipelines, embed AI functionality into enterprise systems and APIs, and collaborate with data scientists and business experts to ensure secure, transparent, and compliant AI behavior. You will drive observability, performance, and cost efficiency across AI services.

Qualifications

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Responsibilities

• Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic.
• Create and sustain prompt engineering approaches, covering versioning, testing, and optimization.
• Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution.
• Embed AI functionality within enterprise systems, APIs, and user interfaces.
• Apply guardrails that guarantee secure, transparent, and compliant AI behavior.
• Construct and sustain production-grade AI deployment pipelines.
• Guarantee dependability, scalability, latency optimization, and cost efficiency of AI services.
• Deploy monitoring and observability for AI systems covering usage, performance, drift, and failures.
• Set up change control, versioning, rollback, and release management practices.
• Work closely with data scientists and business experts to verify model behavior and outputs.
• Convert experimentation outcomes into dependable production-ready solutions.

Skills

AI/ML concepts

Data engineering

MLOps

Prompt engineering

Software development

Education

Bachelor's degree or higher

Tools

Python

Job description

EPAM Systems, Inc. seeks a Senior Data Engineer with AI to architect and build scalable AI workflows that merge models, prompts, and enterprise data into production-ready solutions.

You will design and maintain AI deployment pipelines, embed AI functionality into enterprise systems and APIs, and collaborate with data scientists and business experts to ensure secure, transparent, and compliant AI behavior. You will drive observability, performance, and cost efficiency across AI services.