We are looking for a Lead System Engineer with deep expertise in AWS IAM, Python, and Agentic AI to define the strategic direction and architect next-generation secure AI systems at enterprise scale.
In this role, you will lead the design of secure-by-design controls for agentic mesh AI environments, establish governance frameworks across multi-account AWS landscapes, and drive the adoption of policy-aware AI agents operating within defined security and compliance boundaries. You will also mentor engineers, shape engineering standards, and act as a trusted advisor to senior stakeholders.
Responsibilities
- Lead the architecture and implementation of secure-by-design controls for agentic mesh AI systems built on Amazon Bedrock
- Define and own trust boundaries between autonomous AI agents and services across the enterprise
- Drive the assessment and mitigation of risks related to prompt injection, model misuse, and agent-to-agent trust and verification
- Establish enterprise-wide strategies to address data leakage and cross-agent contamination across AI workloads
- Define the vision and roadmap for policy-aware AI agents operating within security and compliance constraints
- Set standards for network security patterns for AI workloads, including VPC design, private endpoints, and Bedrock access controls
- Architect, govern, and continuously evolve multi-account AWS environments leveraging Organizations and Control Tower
- Define and oversee account isolation strategies for AI workloads, data, and agent execution
- Establish enforcement frameworks using AWS Security Hub, GuardDuty, Config, and CloudTrail
- Lead cross-functional collaboration with AI engineers, cloud teams, and governance stakeholders to align on security architecture and drive consensus on key decisions
- Mentor and coach senior and mid-level engineers, fostering technical growth and a security-first culture
- Represent the engineering organization in executive-level discussions, producing high-quality architectural documentation and communicating complex security concepts to both technical and non-technical audiences
- Contribute to pre-sales activities, technical assessments, and strategic initiatives as a subject matter expert
Requirements
- 8-12 years of general IT experience, including 8+ years of professional experience in system engineering and cloud security
- At least 1 year of relevant leadership experience
- Deep expertise in AWS IAM, Amazon AWS Security, and AWS Security Hub
- Advanced proficiency in Python for automation, security tooling, and framework development
- Strong background in Amazon Bedrock AgentCore and AI Agents Frameworks
- Solid knowledge of AI & ML Strategy with a focus on secure deployment patterns at enterprise scale
- Proven experience designing and governing multi-account AWS environments using Organizations and Control Tower
- Hands-on expertise with AWS security services, including GuardDuty, Config, and CloudTrail
- Strong understanding of network security patterns for AI workloads, including VPC design and private endpoints
- Demonstrated ability to lead architectural decisions, mentor engineers, and influence stakeholders across organizational boundaries
- Structured thinker with a security-first mindset, strong leadership presence, and excellent communication skills
- Written and spoken proficiency in English (B2 level or higher)
Nice to have
- Deep understanding of agentic AI concepts and design principles
- Hands-on experience with multi-agent systems architecture
- Practical knowledge of tool-using and autonomous agents
- Experience contributing to industry communities, publications, or open-source projects in the AI/cloud security space
