Senior System Engineer AWS IAM, Python and Agentic AI

We are seeking a Senior System Engineer with deep expertise in AWS IAM Python and Agentic AI to architect and secure next-generation AI 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.

• 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

• 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)

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