{"id":201369,"url":"https://alion.io/job/epam-systems-lead-ai-engineer-databricks","title":"Lead AI Engineer, Databricks","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"C","score":56,"open_postings":76,"ghost_share":0.684,"stale_share":0,"repost_share":0.197,"time_to_fill_p50_days":31,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Almaty, 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Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"LangChain","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-18T10:22:01Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-11-07T20:58:36Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ghost","repost_count":3,"flags":["repost","company_stale"],"days_open":19},"description":"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.\n Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.\n Responsibilities\n 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\n\n Extend the data engineering framework to make it easy for AI Agents to discover and consume Data Products at scale\n\n Provide a powerful AI-assistant to accelerate Data Product development and operations\n\n Establish and promote engineering excellence practices across agile team peers\n\n Set up robust, scalable pipelines leveraging CI/CD frameworks\n\n Collaborate with international teams to align on technical strategy and delivery\n\n Guide Data Product Engineers with actionable technical direction\n\n Requirements\n 5+ years of experience in Data Engineering with a successful track record of building enterprise-quality Data Products, preferably in Lakehouse architecture\n\n Proficiency in Python development\n\n Proficiency in version control systems and CI/CD frameworks, such as GitHub and GitHub Actions\n\n Expertise in Databricks technologies, including PySpark, Delta Lake and Unity Catalog, or equivalent technology\n\n Expertise in Agentic AI and frameworks such as LangGraph, MCP and A2A\n\n Knowledge of industry standard microservices technologies, including Kubernetes and Docker\n\n Strong English communication skills, both written and spoken, for collaboration with international teams\n\n Capability to provide actionable technical guidance and implement engineering excellence practices among agile team peers\n\n We offer/Benefits\n We connect like-minded people:\n Delivering innovative solutions to industry leaders, making a global impact \n Enjoyable working environment, whether it is the vibrant office or the comfort of your own home \n Opportunity to work abroad for up to two months per year \n Relocation opportunities within our offices in 55+ countries\n Corporate and social events \n We invest in your growth:\n Leadership development, career advising, soft skills and well-being programs \n Certifications, including GCP, Azure and AWS\n Unlimited access to EPAM's internal learning database\n Free English classes with certified teachers \n Discounts in local language schools, including online courses for the Kazakh language\n We cover it all:\n Participation in the Employee Stock Purchase Plan \n Monetary bonuses for engaging in the referral program \n Medical & family care package \n Six trust days per year (sick leave without a medical certificate) \n Coverage of psychology sessions of your choice\n Benefits package (sports activities, a variety of stores and services)\n Housing support program: preferential mortgage access via Otbasy Bank partnership\n EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. 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