Senior AI Engineer/ Agentic SDKs and Workflows

EPAM Systems; Turkey; On-site; TRY 5,923,000 - 8,885,000; Full time

Benefits offered by this job

Continuous upskilling

Mentoring programs

Professional development support

English language courses

Extra leave days

Referral bonuses

Private health insurance

IT equipment

Job summary

EPAM Systems is seeking a Senior AI Engineer specialized in Agentic SDKs to build an intelligence platform for data insights and planning decisions on charging site utilization. You will design multi-step reasoning workflows, deploy semantic layers, and create auditable SQL views.

The role emphasizes self-service analytics, ontology development, and governance across scalable data platforms, with English fluency and a focus on enterprise-grade, explainable AI results.

Qualifications

• 3+ years of experience in AI engineering focusing on agentic systems and autonomous task orchestration.
• Experience designing multi-step reasoning workflows and integrating tools.
• Experience building explainable, auditable AI-driven analytics for enterprise use cases.
• Proficiency in English (B2+).

Responsibilities

• Design and develop agentic AI solutions that structure multi-step reasoning workflows, tool integration, and autonomous task orchestration within a Chatbot interface
• Deploy and configure the semantic layer on the client's lakehouse to support end-to-end self-service analytics for utilization analysis use cases
• Build and maintain the ontology model defining core entities such as Site, Catchment, and RealizedUtilization
• Develop governed SQL views that ensure auditable and explainable results, citing source tables and calculation logic for every generated answer
• Create a semantic layer blueprint and evaluation harness to validate query accuracy and support iterative improvement of the platform
• Collaborate with stakeholders to define the answer set for utilization-based business questions and ensure alignment with business outcomes
• Provide architecture recommendations and define the scope for subsequent evolution phases
• Enable business users to independently answer utilization questions without reliance on data and analytics teams
• Integrate agentic workflows with existing data platforms to ensure scalability and reusability across additional use cases

Skills

Agentic AI

Multi-step reasoning

Self-service analytics

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.

Responsibilities

• Design and develop agentic AI solutions that structure multi-step reasoning workflows, tool integration, and autonomous task orchestration within a Chatbot interface
• Deploy and configure the semantic layer on the client's existing lakehouse to support end-to-end self-service analytics for utilization analysis use cases
• Build and maintain the ontology model defining core entities such as Site, Catchment, and RealizedUtilization to serve as a reusable data foundation for future use cases
• Develop governed SQL views that ensure auditable and explainable results, citing source tables and calculation logic for every generated answer
• Create a semantic layer blueprint and evaluation harness to validate query accuracy and support iterative improvement of the platform
• Collaborate with stakeholders to define the answer set for utilization-based business questions and ensure alignment with business outcomes
• Provide architecture recommendations and define the scope for subsequent evolution phases at project close
• Enable business users to independently answer utilization questions without reliance on data and analytics teams, targeting self-service adoption for the majority of weekly queries
• Integrate agentic workflows with existing data platforms to ensure scalability and reusability across additional use cases

Requirements

• 3+ years of experience in AI engineering, with a focus on agentic systems, multi-step reasoning workflows, and autonomous task orchestration
• Expertise in Unity Catalog, Databricks Agent Bricks, and Genie
• Proficiency in designing and deploying semantic layers, ontology models, and governed SQL views on lakehouse architectures
• Background in building explainable and auditable AI-driven analytics solutions for enterprise use cases
• Skills in structuring chatbot-based agentic workflows that integrate tools and orchestrate autonomous tasks
• Understanding of data governance principles and their application in self-service analytics environments
• Familiarity with evaluation harness design to assess and improve AI-driven query accuracy
• Competency in translating business requirements into scalable data foundations reusable across multiple use cases
• Proficiency in English at a B2+ level

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

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.