Senior System Engineer - AWS IAM, Python and Agentic AI

Office in Coimbatore, Chennai, Gurgaon, Bangalore, Pune, Hyderabad

Amazon Web Services

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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