Senior AI Engineer/ Agentic SDKs and Workflows

EPAM Systems, Inc.; Turkey; On-site; TRY 2,948,000 - 8,845,000; Full time

Benefits offered by this job

Private health insurance

Learning & development

Referral bonuses

Job summary

EPAM Systems, Inc. is seeking a Senior AI Engineer specializing in agentic SDKs and workflows to build an Agentic intelligence platform for self-service charging site analytics.

You will structure multi-step reasoning, orchestrate autonomous tasks, and integrate tools within a Chatbot interface. Key focus areas include semantic layer deployment on lakehouse, ontology modeling for Site/Catchment/Utilization, and governed SQL views for auditable results.

Qualifications

• 3+ years of AI engineering experience focused on agentic systems
• Experience designing multi-step reasoning workflows and autonomous task orchestration
• Proficiency with Unity Catalog, Databricks Agent Bricks, and Genie
• Ability to design semantic layers and governed SQL views for lakehouse architectures
• Strong English communication skills (B2+)

Responsibilities

• Design and develop agentic AI solutions with structured workflows and tool integration
• Deploy semantic layer on lakehouse to enable self-service analytics for utilization analysis
• Define ontology and core entities (Site, Catchment, RealizedUtilization) for reusable data foundations
• Create auditable, explainable SQL views citing sources and calculation logic
• Collaborate with stakeholders to define answer sets for utilization questions
• Enable self-service adoption for weekly queries without heavy data team involvement
• Integrate agentic workflows with existing data platforms for scalability and reuse

Skills

Agentic AI workflows

Multi-step reasoning

Autonomous task orchestration

Chatbot integration

Explainable analytics

English proficiency

Tools

Unity Catalog

Databricks Agent Bricks

Genie

Job description

We are seeking a Senior AI Engineer specialized in Agentic SDKs and Workflows to join a strategic initiative building an Agentic intelligence platform for data insights and planning decisions related to charging site planning, utilization, and optimization. This role will focus on delivering a Proof of Value for Self-Service Charging Site Utilization Analytics, powered by a semantic ontology layer deployed on existing lakehouse infrastructure, enabling business users to self-serve HPC utilization queries with auditable, explainable results.ResponsibilitiesDesign and develop agentic AI solutions that structure multi-step reasoning workflows, tool integration, and autonomous task orchestration within a Chatbot interfaceDeploy and configure the semantic layer on the client's existing lakehouse to support end-to-end self-service analytics for utilization analysis use casesBuild and maintain the ontology model defining core entities such as Site, Catchment, and RealizedUtilization to serve as a reusable data foundation for future use casesDevelop governed SQL views that ensure auditable and explainable results, citing source tables and calculation logic for every generated answerCreate a semantic layer blueprint and evaluation harness to validate query accuracy and support iterative improvement of the platformCollaborate with stakeholders to define the answer set for utilization-based business questions and ensure alignment with business outcomesProvide architecture recommendations and define the scope for subsequent evolution phases at project closeEnable business users to independently answer utilization questions without reliance on data and analytics teams, targeting self-service adoption for the majority of weekly queriesIntegrate agentic workflows with existing data platforms to ensure scalability and reusability across additional use casesRequirements3+ years of experience in AI engineering, with a focus on agentic systems, multi-step reasoning workflows, and autonomous task orchestrationExpertise in Unity Catalog, Databricks Agent Bricks, and GenieProficiency in designing and deploying semantic layers, ontology models, and governed SQL views on lakehouse architecturesBackground in building explainable and auditable AI-driven analytics solutions for enterprise use casesSkills in structuring chatbot-based agentic workflows that integrate tools and orchestrate autonomous tasksUnderstanding of data governance principles and their application in self-service analytics environmentsFamiliarity with evaluation harness design to assess and improve AI-driven query accuracyCompetency in translating business requirements into scalable data foundations reusable across multiple use casesProficiency in English at a B2+ levelWe 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.