Lead AI Engineer, Databricks

About the Position

Lead AI Engineer, Databricks

We are seeking a Lead AI Engineer, Databricks, to design and build data engineering frameworks, reusable components, and best practices that empower hundreds of SAP Data Engineers to build AI-ready Data Products at scale, while driving innovation in AI-assisted development and Agentic AI solutions.

Responsibilities

• Design and build the data engineering framework, reusable components and templates (e.g. CI/CD), and best practices to boost productivity of Data Engineers building AI-ready Data Products
• Extend the data engineering framework to make it easy for AI Agents to discover and consume Data Products at scale
• Provide a powerful AI-assistant to accelerate Data Product development and operations
• Establish and promote engineering excellence practices across agile team peers
• Set up robust, scalable pipelines leveraging CI/CD frameworks
• Collaborate with international teams to align on technical strategy and delivery
• Guide Data Product Engineers with actionable technical direction

Requirements

• 5+ years of experience in Data Engineering with a successful track record of building enterprise-quality Data Products, preferably in Lakehouse architecture
• Proficiency in Python development
• Proficiency in version control systems and CI/CD frameworks, such as GitHub and GitHub Actions
• Expertise in Databricks technologies, including PySpark, Delta Lake and Unity Catalog, or equivalent technology
• Expertise in Agentic AI and frameworks such as LangGraph, MCP and A2A
• Knowledge of industry standard microservices technologies, including Kubernetes and Docker
• Strong English communication skills, both written and spoken, for collaboration with international teams
• Capability to provide actionable technical guidance and implement engineering excellence practices among agile team peers

What We Offer

• We connect like-minded people: Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• We invest in your growth: Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• We cover it all: Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Medical & family care package
• Six trust days per year (sick leave without a medical certificate)
• Coverage of psychology sessions of your choice
• Benefits package (sports activities, a variety of stores and services)
• Housing support program: preferential mortgage access via Otbasy Bank partnership