Senior Data Engineer, AI

EPAM Systems; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

EPAM Systems in Germany is seeking a Senior Data Engineer with AI expertise to architect and build intelligent AI workflows. The position focuses on merging models, enterprise data, and business logic into dependable, production-ready solutions.

Responsibilities include constructing scalable AI pipelines, embedding AI functionality into systems, and partnering with data scientists to ensure compliance and security in AI behavior. A strong engineering background and over 3 years in software development are required for this role.

Qualifikationen

• More than 3 years of experience working in software development.
• Solid engineering foundation paired with applied AI expertise.
• Mastery in architecting and building AI workflows that merge models, prompts, and enterprise data.

Aufgaben

• Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic.
• Construct and sustain production-grade AI deployment pipelines.
• Work closely with data scientists and business experts to verify model behavior and outputs.

Kenntnisse

Software development

AI workflows architecture

Prompt engineering

MLOps

Monitoring and observability

Large-scale enterprise data ecosystems

English (B2 or above)

Jobbeschreibung

We are looking for a Senior Data Engineer with AI to architect and build intelligent AI workflows that merge models, enterprise data, and business logic into dependable, production-ready solutions. Within this position, you will construct scalable AI deployment pipelines, embed AI functionality into enterprise systems, and partner with data scientists and business experts to deliver secure, transparent, and compliant AI behavior.

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 alongside data scientists and business experts to verify model behavior and outputs.
• Convert experimentation outcomes into dependable production-ready solutions.
• Convey operational constraints and engineering considerations to stakeholders.

Requirements

• More than 3 years of experience working in software development.
• Solid engineering foundation paired with applied AI expertise.
• Proficiency in architecting and building AI workflows that merge models, prompts, and enterprise data.
• Mastery of prompt engineering approaches, covering versioning, testing, and optimization.
• Abilities in constructing production-grade AI deployment pipelines, MLOps, and productionization.
• Proficiency in monitoring and observability for AI systems, covering drift, performance, and failures.
• Understanding of change control, versioning, and release management practices.
• Ability to rapidly get up to speed on new platforms and tools.
• Experience with large-scale enterprise data ecosystems.
• English skills at B2 level or above.