Senior AI Engineer with AWS and Databricks

EPAM Systems; Turkey; On-site; TRY 5,923,000 - 8,885,000; Full time

Benefits offered by this job

Continuous upskilling

Private health insurance

English courses

Career development programs

Mentoring and leadership programs

Job summary

EPAM Systems is seeking a hands-on Senior AI Engineer with deep production experience on AWS and Databricks to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. You will take ownership of AI agents and Gen AI in production.

You will work with cross-functional teams to ensure scalable, reliable AI capabilities that power enterprise data products. The role emphasizes production-grade AI workloads, model governance, and the use of MLflow for

Qualifications

• 5+ years of experience in AI/ML engineering, with a focus on production-grade solutions.
• Expertise in AI agents development and Gen AI solutions development.
• Proficiency in Amazon Web Services and Databricks.
• Skills in MLflow, Feature Store, and Model Serving.
• Knowledge of Lakehouse AI and Unity Catalog.
• Background in integrating AI capabilities into business applications and data products.
• Understanding of large-scale data processing and production AI workload management.
• English proficiency at B2 level or higher.

Responsibilities

• Design, build, and deploy AI/ML solutions across the full software development lifecycle
• Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases
• Own AI solutions end-to-end, from model development and deployment to monitoring and support
• Integrate AI capabilities into business applications and data products
• Work with large-scale data to build and support production AI workloads
• Optimize AI models and pipelines for performance, scalability, and cost efficiency
• Manage model governance, versioning, and lifecycle using MLflow
• Leverage Databricks-native capabilities, including Feature Store, Model Serving, Lakehouse AI, and Unity Catalog
• Collaborate with cross-functional teams to ensure AI solutions meet business and technical requirements
• Monitor and maintain AI solutions in production, ensuring reliability and performance

Skills

AI/ML engineering

Production systems

Gen AI development

English (B2+)

AWS

Tools

Databricks

MLflow

Feature Store

Model Serving

Unity Catalog

Lakehouse AI

Job description

We are looking for a hands‑on Senior AI Engineer with strong production experience on AWS and Databricks to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. The ideal candidate has successfully delivered enterprise‑grade AI products using Databricks‑native capabilities and has hands‑on ownership of AI agents and Gen AI solutions in production environments.

Responsibilities

• Design, build, and deploy AI/ML solutions across the full software development lifecycle
• Develop and implement AI agents and Gen AI solutions for enterprise‑grade use cases
• Own AI solutions end‑to‑end, from model development and deployment to monitoring and support
• Integrate AI capabilities into business applications and data products
• Work with large‑scale data to build and support production AI workloads
• Optimize AI models and pipelines for performance, scalability, and cost efficiency
• Manage model governance, versioning, and lifecycle using MLflow
• Leverage Databricks‑native capabilities, including Feature Store, Model Serving, Lakehouse AI, and Unity Catalog
• Collaborate with cross‑functional teams to ensure AI solutions meet business and technical requirements
• Monitor and maintain AI solutions in production, ensuring reliability and performance

Requirements

• 5+ years of experience in AI/ML engineering, with a focus on production‑grade solutions
• Expertise in AI agents development and Gen AI solutions development
• Proficiency in Amazon Web Services and Databricks
• Skills in MLflow, Feature Store, and Model Serving
• Knowledge of Lakehouse AI and Unity Catalog
• Background in integrating AI capabilities into business applications and data products
• Understanding of large‑scale data processing and production AI workload management
• English proficiency at B2 level or higher

Nice to have

• Familiarity with AWS Bedrock

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.