Senior Data Engineer, AI

EPAM Systems; Turkey; On-site; TRY 4,375,000 - 6,806,000; Full time

Benefits offered by this job

Continuous upskilling

Diversity of tasks and projects

Mentoring programs

Certification & professional dev.

Learning platforms & English courses

Private health insurance

Well-being events

IT equipment

Job summary

EPAM Systems is seeking 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. 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 AI behavior.

Responsibilities include deploying orchestration layers for multi-step reasoning, integrating AI

Qualifications

• More than 3 years of experience in software development.
• Solid engineering foundation with applied AI expertise.
• Experience architecting AI workflows that merge models, prompts, and enterprise data.
• Mastery of prompt engineering including versioning, testing, and optimization.
• Experience building production-grade AI deployment pipelines, MLOps, and productionization.
• Monitoring/observability for AI systems (drift, performance, failures).
• Knowledge of change control, versioning and release management practices.
• Ability to learn new platforms/tools quickly.
• Experience with large-scale enterprise data ecosystems.
• English skills at B2 level or above.

Responsibilities

• Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic.
• Create and sustain prompt engineering approaches (versioning, testing, optimization).
• Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution.
• Embed AI functionality within enterprise systems, APIs, and user interfaces.
• Apply guardrails for secure, transparent, 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 (usage, performance, drift, failures).
• Set up change control, versioning, rollback, and release management practices.
• Work with 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.

Skills

AI workflows

MLOps

Production pipelines

Monitoring observability

Versioning

Change management

New platforms/tools

Enterprise data

English (B2+)

Engineering fundamentals

Job description

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

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM 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.