Senior System Engineer - AWS IAM, Python and Agentic AI

EPAM Systems; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

EPAM Systems seeks a Senior System Engineer with deep expertise in AWS IAM, Python, and agentic AI to architect and secure next-generation AI systems. You will design secure-by-design controls for agentic mesh AI environments and govern multi-account AWS landscapes, enabling policy-aware AI agents within defined security and compliance boundaries.

Responsibilities include implementing Bedrock-based controls, enforcing security using GuardDuty and CloudTrail, and producing clear architectural

Qualifications

• 5-8 years of IT experience with 5+ years in system engineering and cloud security.

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

Skills

AWS IAM

AWS Security

Python

Bedrock AgentCore

AI Agents Frameworks

Multi-account Governance

VPC & Private Endpoints

English Communication

Tools

AWS GuardDuty

AWS Config

AWS CloudTrail

Amazon Bedrock

Job description

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