We are seeking a Lead AI-Enabled Data Engineer to design and implement intelligent AI workflows that combine models, enterprise data and business logic into reliable production solutions. In this role, you will build scalable AI deployment pipelines, integrate AI capabilities into enterprise systems and collaborate with data scientists and business experts to deliver safe, explainable and compliant AI behavior.
Responsibilities
- Design and implement AI workflows combining models, prompts, enterprise data, tools and business logic
- Develop and maintain prompt engineering strategies, including versioning, testing and optimization
- Implementation of orchestration layers for multi-step reasoning, decisioning and action execution
- Integrate AI capabilities into enterprise systems, APIs and user interfaces
- Application of guardrails to ensure safe, explainable and compliant AI behavior
- Build and maintain production-grade AI deployment pipelines
- Ensure reliability, scalability, latency optimization and cost efficiency of AI services
- Implementation of monitoring and observability for AI systems including usage, performance, drift and failures
- Establish change control, versioning, rollback and release management practices
- Collaborate closely with data scientists and business experts to validate model behavior and outputs
- Translate experimentation results into reliable production solutions
- Communicate operational constraints and engineering considerations to stakeholders
Requirements
- 5+ years of experience in software development
- Strong engineering background with applied AI skills
- Expertise in designing and implementing AI workflows combining models, prompts and enterprise data
- Proficiency in prompt engineering strategies, including versioning, testing and optimization
- Skills in building production-grade AI deployment pipelines, MLOps and productionization
- Competency in monitoring and observability for AI systems, including drift, performance and failures
- Knowledge of change control, versioning and release management practices
- Capability to quickly ramp up on new platforms and tools
- Familiarity with large enterprise data ecosystems
- English proficiency at B2 level or higher
We offer
- CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
- Diversity of assignments and projects
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ 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
- WORKING ENVIRONMENT
- Recreation office zones with tea, coffee and snacks
- Sports and game consoles
- IT equipment and Microsoft's Software Assurance Home Use Program (HUP)
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.