Principal Forward Deployed AI Engineer

EPAM Systems, Inc.; Turkey; On-site; TRY 6,734,000 - 9,620,000; Full time

Benefits offered by this job

Continuous upskilling

Diversity of tasks and projects

Mentoring programs

Learning platforms access

Private health insurance

Job summary

EPAM Systems, Inc. seeks a Principal Forward Deployed AI Engineer to own end-to-end AI delivery across multiple streams, leading mini-teams and partnering with business stakeholders, solution architects, data engineers and analysts to design, build and scale production-grade agentic AI systems.

Responsibilities include translating business requirements into scalable technical solutions, optimizing SAP HANA Cloud pipelines, and ensuring system reliability while collaborating closely with analysts

Qualifications

• Strong experience with SAP HANA Cloud and data processing pipelines.
• Ability to translate business requirements into scalable AI/data solutions.
• Experience in semiconductor industry is a strong advantage.

Responsibilities

• Own end-to-end AI delivery across multiple streams and lead mini-teams.
• Partner with business stakeholders, solution architects, data engineers and analysts to design, build and scale production-grade AI systems.
• Design data models and pipelines in SAP HANA Cloud and optimize performance in HANA Cloud environments.
• Collaborate with business analysts to support analytics and reporting needs and ensure system reliability.

Skills

HANA Cloud

Data engineering

Cloud data modeling

Performance optimization

English proficiency

Stakeholder collaboration

Education

HA300 training

Tools

Databricks

Alteryx

Knime

Job description

We are seeking a Principal Forward Deployed AI Engineer to own end-to-end AI delivery across multiple streams, leading mini-teams and partnering closely with business stakeholders, solution architects, data engineers and analysts to design, build and scale production-grade agentic AI systems.ResponsibilitiesDesign and implement data models and pipelines in SAP HANA CloudTranslate business requirements into scalable technical solutionsOptimize data processing and performance in HANA Cloud environmentsCollaborate with business analysts to support analytics and reporting needsEnsure system reliability and proactively resolve technical issuesApply best practices for data governance and security within solutionsRequirementsKnowledge and hands-on experience with SAP HANA CloudCompletion of HA300 training is a plusGood command of the English languageExperience translating Data Bricks/Alteryx/Knime models into HANA CloudExperience in HANA Cloud optimizationUnderstanding of HADES list appsAbility to collaborate effectively with business analystsProactive approach to problem solvingExperience in the semiconductor industry is a strong advantageNice to haveFamiliarity with advanced data engineering concepts and toolsBackground in analytics for manufacturing processesWe 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.