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Lead Data Engineer, AI

EPAM Systems

🇬🇧 English
MLOps Prompt engineering Production-grade AI deployment pipelines Monitoring and observability GCP Azure AWS

Job description

About the role

We are looking for a Lead Data Engineer specialized in AI to design and deliver intelligent, production‑ready AI workflows. You will work closely with data scientists and business experts to turn experimental models into reliable, scalable services that meet safety and compliance standards.

Key responsibilities

  • Design and implement AI workflows that combine models, prompts, enterprise data, tools, and business logic.
  • Develop and maintain prompt‑engineering strategies, including versioning, testing, and optimization.
  • Build orchestration layers for multi‑step reasoning, decisioning, and action execution.
  • Integrate AI capabilities into enterprise systems, APIs, and user interfaces.
  • Apply guardrails to ensure safe, explainable, and compliant AI behavior.
  • Create and operate production‑grade AI deployment pipelines (MLOps) with focus on reliability, scalability, latency, and cost efficiency.
  • Implement monitoring and observability for usage, performance, drift, and failures.
  • Establish change‑control, versioning, rollback, and release‑management practices.
  • Collaborate with data scientists and business experts to validate model outputs and translate experimentation results into production.

Required profile

  • 5+ years of software development experience.
  • Strong engineering background with applied AI skills.
  • Expertise in designing AI workflows that combine models, prompts, and enterprise data.
  • Proficiency in prompt‑engineering strategies, including versioning and testing.
  • Experience building production‑grade AI pipelines and MLOps practices.
  • Competence in monitoring, observability, and handling model drift.
  • Knowledge of change‑control, versioning, and release management.
  • Ability to quickly learn new platforms and tools.
  • Familiarity with large enterprise data ecosystems.
  • English proficiency at B2 level or higher.

Required skills

  • MLOps
  • Prompt engineering
  • AI workflow design
  • Production‑grade AI deployment pipelines
  • Monitoring and observability
  • Change control and versioning
  • GCP
  • Azure
  • AWS

What we offer

  • Innovative projects for global industry leaders.
  • Flexible work environment (office or remote).
  • Opportunities to work abroad up to two months per year.
  • Relocation options across 55+ countries.
  • Leadership development, certifications (GCP, Azure, AWS), and unlimited access to internal learning resources.
  • Medical & family care package, referral bonuses, and six trust days per year.
  • Fitness club discounts and coverage for psychology sessions.

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Published 1 month ago

Expires 2 weeks from now

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EPAM Systems