Senior Data Engineer, AI

EPAM Systems, Inc.; Turkey; On-site; TRY 4,904,000 - 7,357,000; Full time

Benefits offered by this job

Continuous learning and development

Private health insurance

Competitive USD salary

Job summary

EPAM Systems, Inc. in Turkey seeks a Senior Data Engineer with AI to architect and build intelligent AI workflows merging models, enterprise data, and business logic into dependable, production-ready solutions.

You will deploy end‑to‑end AI deployment pipelines, embed AI in enterprise systems, and collaborate with data scientists and business experts to ensure secure, transparent AI behavior. You will design scalable AI workflows, implement prompt engineering, monitor AI services, and provide

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.ResponsibilitiesArchitect and build AI workflows that merge models, prompts, enterprise data, tools, and business logicCreate and sustain prompt engineering approaches, covering versioning, testing, and optimizationDeploy orchestration layers supporting multi-step reasoning, decisioning, and action executionEmbed AI functionality within enterprise systems, APIs, and user interfacesApply guardrails that guarantee secure, transparent, and compliant AI behaviorConstruct and sustain production-grade AI deployment pipelinesGuarantee dependability, scalability, latency optimization, and cost efficiency of AI servicesDeploy monitoring and observability for AI systems covering usage, performance, drift, and failuresSet up change control, versioning, rollback, and release management practicesWork closely alongside data scientists and business experts to verify model behavior and outputsConvert experimentation outcomes into dependable production-ready solutionsConvey operational constraints and engineering considerations to stakeholdersRequirementsMore than 3 years of experience working in software developmentSolid engineering foundation paired with applied AI expertiseProficiency in architecting and building AI workflows that merge models, prompts, and enterprise dataMastery of prompt engineering approaches, covering versioning, testing, and optimizationAbilities in constructing production-grade AI deployment pipelines, MLOps, and productionizationProficiency in monitoring and observability for AI systems, covering drift, performance, and failuresUnderstanding of change control, versioning, and release management practicesAbility to rapidly get up to speed on new platforms and toolsExperience with large-scale enterprise data ecosystemsEnglish skills at B2 level or aboveWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’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.