Lead AI Engineer with AWS Bedrock
Actively Hiring
Full-time Posted 15 days ago
Responsibilities
- check_circle Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architectures
- check_circle Build, deploy, and maintain AI services using Python or TypeScript
- check_circle Develop and manage infrastructure using AWS CDK
- check_circle Integrate GenAI capabilities into operational systems, including monitoring, automation, and incident handling
- check_circle Collaborate with cross-functional teams to deliver production-ready AI features
- check_circle Ensure scalability, reliability, and performance of deployed solutions
Basic qualifications
- 5+ years of hands-on engineering experience delivering production-grade solutions (not only prototypes or POCs)
- At least 1 year of relevant leadership experience
- Proven expertise in AWS Bedrock (including AgentCore) applied in real projects
- Proficiency in Python or TypeScript
- Skills in building and deploying infrastructure using AWS CDK
- Understanding of DevOps practices, including CI/CD, deployment, and monitoring
- Background in AIOps or observability platforms
- Strong communication skills for effective team collaboration
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Preferred qualifications
- Background in Generative AI and LLM-based solutions
- Experience working in distributed or customer-facing teams
- Familiarity with the broader AWS ecosystem, such as Lambda, ECS, etc.
- CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT Diversity of assignments and projects Personal development plan Mentoring programs and leadership development Certification and professional development support Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses English courses taught by certified teachers
- Diversity of assignments and projects
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
- English courses taught by certified teachers
- CORPORATE BENEFITS Extra leave days Referral bonuses
- Extra leave days
- Referral bonuses
- COMPENSATION PACKAGE Competitive compensation paid in USD Regular salary and performance reviews
- Competitive compensation paid in USD
- Regular salary and performance reviews
- MEDICAL & HEALTHCARE Private health insurance
- Private health insurance
- WORKING ENVIRONMENT Recreation office zones with tea, coffee and snacks Sports and game consoles IT equipment and Microsoft's Software Assurance Home Use Program (HUP)
- Recreation office zones with tea, coffee and snacks
- Sports and game consoles
- IT equipment and Microsoft's Software Assurance Home Use Program (HUP)
Tags & Focus Areas
Ai Ai Engineer
About EPAM Systems
Shape the future of global data science infrastructure as a Site Reliability Engineer at EPAM. You'll architect, implement, and support cutting-edge platforms like Alteryx, Dataiku, and Azure Machine Learning that power critical business insights across wealth management, investment banking, and corporate functions.
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