Senior AI Engineer with AWS Bedrock

EPAM Systems; Turkey; Hybrid; TRY 3,885,000 - 6,799,000; Full time

Benefits offered by this job

Continuous upskilling

Diversity of tasks

Mentoring programs

English courses

Private health insurance

Extra leave days

Referral bonuses

Certification and professional dev.

Job summary

EPAM Systems is seeking a Senior AI Engineer to design and deploy AIOps solutions using AWS Bedrock and agent-based architectures. You will build and maintain AI services in Python or TypeScript, and manage infrastructure with AWS CDK to deliver production-grade GenAI features.

The role emphasizes strong DevOps practices, observability, and collaboration across teams, with a focus on scalable, reliable cloud deployments and excellent communication in English.

Qualifications

• 3+ years hands-on experience in Python or TypeScript.
• Proven experience with AWS Bedrock including AgentCore in real projects.
• Practical experience with AWS CDK for infrastructure-as-code.
• Solid understanding of DevOps practices including CI/CD, deployment and monitoring.
• Delivery of production-grade solutions rather than prototypes or POCs.
• Background in AIOps or observability platforms.
• Strong communication skills for team collaboration.
• English proficiency at B2 level or higher.

Responsibilities

• Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architectures.
• Build, deploy and maintain AI services using Python or TypeScript.
• Develop and manage infrastructure using AWS CDK.
• Integrate GenAI capabilities into operational systems including monitoring, automation and incident handling.
• Collaborate with cross-functional teams to deliver production-ready AI features.
• Ensure scalability, reliability and performance of deployed solutions.

Skills

English proficiency

Team collaboration

DevOps practices

Tools

Python

TypeScript

AWS Bedrock

AgentCore

AWS CDK

CI/CD

Observability

Job description

We are seeking a hands-on Senior AI Engineer to build and deploy AIOps solutions using AWS Bedrock and agent-based architectures. This role combines strong engineering capability in Python and TypeScript with real experience implementing GenAI-powered systems in cloud environments. The ideal candidate is comfortable working full-time in the CET timezone and delivering production-ready AI features.

Responsibilities

• Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architectures
• Build, deploy and maintain AI services using Python or TypeScript
• Develop and manage infrastructure using AWS CDK
• Integrate GenAI capabilities into operational systems including monitoring, automation and incident handling
• Collaborate with cross-functional teams to deliver production-ready AI features
• Ensure scalability, reliability and performance of deployed solutions
  
  

Requirements

• 3+ years of hands-on experience in Python or TypeScript
• Proven experience with AWS Bedrock including AgentCore in real projects
• Practical experience with AWS CDK for infrastructure-as-code
• Solid understanding of DevOps practices including CI/CD, deployment and monitoring
• Proficiency in delivering production-grade solutions rather than prototypes or POCs
• Background in AIOps or observability platforms
• Strong communication skills for team collaboration
• English proficiency at B2 level or higher
  
  

Nice to have

• Background in Generative AI or LLM-based solutions
• Experience working in distributed or customer-facing teams
• Familiarity with broader AWS ecosystem including Lambda and ECS
  
  

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)
  

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.