Senior GenAI Platform Engineer & Azure AI Architect

EPAM Systems, Inc.; Dublin; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

26 paid holiday days

Pension plan

Disability insurance

Long-term disability (WIA)

ESPP

Commuting reimbursement

Laptop + SIM

Bike lease

EAP

Training & certifications

Job summary

EPAM Systems, Inc. in the Netherlands is seeking a Senior AI Platform Engineer/AI Architect to design production-grade AI systems on Azure, enabling AI-native software engineering across teams. This hands-on role involves coding, IaC, CI/CD, observability and governance for enterprise-scale AI delivery.

You will work on RAG pipelines, AI assistants, gateway components and reusable platform elements, with strong emphasis on secure, tested deployments and operational readiness at scale.

Qualifications

• 6+ years in software/cloud engineering or platform engineering.
• Hands-on GenAI, RAG and AI platform automation experience.
• Proficient in Python, TypeScript, C#, Java or Go for production APIs.
• Strong Azure cloud-native architecture knowledge.
• Experience with containers, Kubernetes and IaC.
• Security, logging, monitoring, cost optimization, operation readiness.

Responsibilities

• Build RAG pipelines, AI assistants, agent workflows and gateways.
• Deliver AI-native engineering workflows using GitHub tools.
• Implement CI/CD, IaC, observability and deployment frameworks.
• Create reusable templates and onboarding kits for client teams.
• Mentor engineers and guide AI-assisted SDLC with governance.

Skills

GenAI & RAG

AI platform automation

Python

TypeScript

C#

Java

Go

Azure cloud

IaC

CI/CD pipelines

Security & governance

Mentoring teams

Tools

Azure Foundry

Azure OpenAI

Azure AI Search

AKS

Cosmos DB

Key Vault

Azure Functions

API Management

GitHub Actions

GitHub Copilot

Job description

EPAM Systems, Inc. in the Netherlands is seeking a Senior AI Platform Engineer/AI Architect to design production-grade AI systems on Azure, enabling AI-native software engineering across teams. This hands-on role involves coding, IaC, CI/CD, observability and governance for enterprise-scale AI delivery.

You will work on RAG pipelines, AI assistants, gateway components and reusable platform elements, with strong emphasis on secure, tested deployments and operational readiness at scale.