Senior AI/ML Engineer, Agentic Workflows

About the Position

We are looking for a Senior AI/ML Engineer to join the Enterprise AI Center of Excellence (EAI CoE), driving value creation through best-in-class Big Data, AI and Search platforms, solutions, and services. Within the EAI CoE, the AI Factory accelerates the implementation and scaling of impactful AI use cases, empowering both professional and citizen data scientists through standardized frameworks and automation. In this role, you will design, develop, and deploy AI-powered solutions that automate and optimize incentive management or controlling processes, building intelligent agents that analyze financial and operational data, validate business rules, identify anomalies and optimization opportunities, and support planning, forecasting, and decision-making through automated workflows and actionable insights.

Responsibilities

• Design and develop AI-powered solutions to automate and optimize incentive management or controlling processes
• Build intelligent agents to analyze financial and operational data and validate business rules
• Identify anomalies and optimization opportunities within business processes
• Support planning, forecasting, and decision-making through automated workflows and actionable insights
• Implement CI/CD and MLOps pipelines across cloud environments
• Deploy and maintain models using containerization and orchestration tools
• Collaborate with cross-functional teams following Agile and SAFe methodologies
• Apply software engineering principles to build scalable and maintainable AI solutions
• Manage data ETL processes, APIs, and model deployment workflows

Requirements

• 3+ years of experience with multi-agent or generative AI frameworks such as LangChain or CrewAI
• Advanced coding skills in Python (preferred) or Java with a solid understanding of software engineering principles
• Experience with backend frameworks such as FastAPI, Flask, or Django and microservice architectures
• Familiarity with containerization and orchestration tools such as Docker, Kubernetes, GitHub Actions, or MLFlow
• Experience implementing CI/CD and MLOps pipelines in cloud environments such as Azure ML, Databricks, or AWS
• Hands-on experience with data ETL, APIs, and model deployment workflows
• Knowledge of distributed systems and data platforms for big data
• Understanding of Agile and SAFe methodologies and collaborative engineering practices
• Fluent English and a proactive problem-solving mindset

Nice to Have

• Knowledge of ML/AI methodology and AI architectures
• Background in Data Science
• Familiarity with SAP AI Core and SAP BTP
• Experience with agile frameworks such as Scrum or SAFe and project management tools such as Jira

We Offer

• We connect like-minded people: Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• We invest in your growth: Leadership development, career advising, soft skills, and well-being programs
• Certifications, including GCP, Azure, and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• We cover it all: Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Medical & family care package
• Six trust days per year (sick leave without a medical certificate)
• Coverage of psychology sessions of your choice
• Benefits package (sports activities, a variety of stores and services)
• Housing support program: preferential mortgage access via Otbasy Bank partnership