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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 BedrockDefine trust boundaries between autonomous AI agents and servicesAssess and mitigate risks related to prompt injection, model misuse, and agent-to-agent trust and verificationAddress data leakage and cross-agent contamination concerns across AI workloadsEnable policy-aware AI agents that operate within defined security and compliance constraintsApply network security patterns for AI workloads, including VPC design, private endpoints, and Bedrock access controlsArchitect and govern multi-account AWS environments leveraging Organizations and Control TowerImplement account isolation strategies for AI workloads, data, and agent executionEnforce security controls using AWS Security Hub, GuardDuty, Config, and CloudTrailCollaborate across AI engineers, cloud teams, and governance stakeholders to align on security architectureProduce 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 securityExpertise in AWS IAM, Amazon AWS Security, and AWS Security HubProficiency in Python for automation and security toolingBackground in Amazon Bedrock AgentCore and AI Agents FrameworksKnowledge of AI & ML Strategy with focus on secure deployment patternsSkills in multi-account AWS governance using Organizations and Control TowerFamiliarity with AWS security services, including GuardDuty, Config, and CloudTrailUnderstanding of network security patterns for AI workloads, including VPC design and private endpointsCapability to act as a structured thinker with a security-first mindset and strong communication skillsProficient communication skills in English (B2 level or higher) Nice to have Understanding of agentic AI concepts and design principlesFamiliarity with multi-agent systems architectureKnowledge of tool-using and autonomous agents .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.