Quevera

Security Engineer

• Support security architecture, automation, compliance, and security posture management across a complex, multi-vendor AWS environment
• Design and implement ML-based model-routing logic to route requests to appropriate LLMs
• Build and maintain orchestration layers using AWS Bedrock, LangChain, or custom frameworks
• Train, evaluate, and iterate on classification models using evaluation frameworks and feedback loops
• Architect conversation-context analysis, retrieval, and embedding strategies for multi-turn interactions
• Develop prompt-engineering standards and context-window management techniques
• Architect enterprise-scale GenAI solutions with high availability, performance optimization, and cost management
• Apply observability, model evaluation, guardrails, responsible AI controls, and versioning
• Design and maintain data extraction and transformation pipelines
• Engage customer stakeholders and technical counterparts to gather requirements and validate solutions
• Participate in Agile/Scrum ceremonies
• Collaborate with the Engagement Manager to track progress and risks
• Produce technical documentation, architecture diagrams, and handoff artifacts
• Work approximately 80% low-side and 20% high-side

AWS Cloud Security Engineer