
location_on4330, Dickason Avenue, Dallas, Dallas County, Texas, 75219, United States
Do you want to set the standard for how builders architect AI workloads that are secure, reliable, and efficient on AWS? We are looking for a Principal Security Solutions Architect with deep expertise in Machine Learning, Generative AI, and Agentic AI to own and drive the strategic vision for Security-focused Architectural Guidance Best Practices across AI workloads.
You will operate at the intersection of AI technologies, cloud architecture, and security engineering, ensuring AI workloads achieve Well-Architected outcomes across all six pillars with depth in the Security pillar. In this role, you will define the long-term technical direction for AI security architectural guidance, translate emerging AI/ML security patterns into prescriptive and actionable best practices, and influence AWS service design to better serve AI builders who need to secure their workloads across the full AI lifecycle.
Your day will involve engaging directly with strategic enterprise customers to validate security guidance through real-world implementations, partnering with stakeholders across AWS service teams to represent the customer voice, and publishing whitepapers or presenting at industry conferences to establish AWS as a leading authority on securing Well-Architected AI workloads.
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Skills: Machine Learning, Generative Ai, Agentic Ai, Aws Well-Architected, Security Architecture, Cloud Security, Application Security, Infrastructure Security, ML Lifecycle, Identity And Access Management.
Education: Bachelor's degree or above in Computer Science, Computer Engineering, Cybersecurity, or related discipline required.
Work model: On-site
4330, Dickason Avenue, Dallas, Dallas County, Texas, 75219, United States
Dallas, Texas
Deep expertise in securing Generative AI architectures (model access controls, data leakage prevention, prompt injection defenses, RAG pipeline security, vector database access patterns, secure fine-tuning workflows). Hands-on experience securing Agentic AI patterns (permission boundaries for autonomous agents, secure tool-use architectures, least-privilege orchestration, audit trails, human-in-the-loop approval gates). Expert-level knowledge of AWS security and AI/ML services (AWS IAM, KMS, CloudTrail, GuardDuty, Security Hub, Macie, Amazon Bedrock Guardrails, Amazon SageMaker with VPC, encryption, role-based access). Experience defining or contributing to AWS Well-Architected Guidance (Security pillar) or similar enterprise-scale security review guidance. Recognized thought leader with a strong publication record and conference speaking history (re:Invent, AWS Summits, industry security/architecture conferences). Experience with Infrastructure as Code (CDK, CloudFormation, Terraform) and CI/CD practices for secure ML pipelines (MLSecOps). Deep knowledge of responsible AI practices (fairness, explainability, safety guardrails, governance standards, regulatory compliance like SOC 2, ISO 27001, NIST AI RMF, EU AI Act). AWS certifications (Solutions Architect Professional, Security Specialty, Generative AI, or equivalent). Demonstrated experience mentoring senior engineers on security practices and contributing to organizational hiring and talent development strategy.
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