EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Senior System Engineer with deep expertise in AWS IAM, Python, and Agentic AI to architect and secure next-generation AI systems. In this role, you will design secure-by-design controls for agentic mesh AI environments, govern multi-account AWS landscapes, and enable policy-aware AI agents operating within defined security and compliance boundaries.

Responsibilities

- Design and implement secure-by-design controls for agentic mesh AI systems built on Amazon Bedrock
- Define trust boundaries between autonomous AI agents and services
- Assess and mitigate risks related to prompt injection, model misuse, and agent-to-agent trust and verification
- Address data leakage and cross-agent contamination concerns across AI workloads
- Enable policy-aware AI agents that operate within defined security and compliance constraints
- Apply network security patterns for AI workloads, including VPC design, private endpoints, and Bedrock access controls
- Architect and govern multi-account AWS environments leveraging Organizations and Control Tower
- Implement account isolation strategies for AI workloads, data, and agent execution
- Enforce security controls using AWS Security Hub, GuardDuty, Config, and CloudTrail
- Collaborate across AI engineers, cloud teams,



and governance stakeholders to align on security architecture
- Produce strong architectural documentation and communicate complex security concepts clearly

Requirements

- 5-8 years of general IT experience, including 5+ years of professional experience in system engineering and cloud security
- Expertise in AWS IAM, Amazon AWS Security, and AWS Security Hub
- Proficiency in Python for automation and security tooling
- Background in Amazon Bedrock AgentCore and AI Agents Frameworks
- Knowledge of AI & ML Strategy with focus on secure deployment patterns
- Skills in multi-account AWS governance using Organizations and Control Tower
- Familiarity with AWS security services, including GuardDuty, Config, and CloudTrail
- Understanding of network security patterns for AI workloads, including VPC design and private endpoints
- Capability to act as a structured thinker with a security-first mindset and strong communication skills
- Proficient communication skills in English (B2 level or higher)

Nice to have

- Understanding of agentic AI concepts and design principles
- Familiarity with multi-agent systems architecture
- Knowledge of tool-using and autonomous agents

We offer

- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement perks
- Paid time off
- Flexible benefits

- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

📌 Senior System Engineer - AWS IAM, Python and Agentic AI (Hyderabad)
🏢 EPAM Systems
📍 Hyderabad