Cloud Security Architect

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Solutions Architect

This role focuses on securing AI/ML workloads, including Generative AI, LLMs, and agentic AI systems, for AWS customers. The Cloud Security Architect will assess and mitigate security risks, design security architectures with guardrails and access controls, and advise on responsible AI governance. The role requires strong programming skills and experience with AWS security services, as well as a growing proficiency in securing AI applications, RAG pipelines, and agentic systems.

What you'd actually do

  1. Assess and mitigate security risks associated with AI/ML workloads, including model poisoning, prompt injection, data leakage, and adversarial attacks
  2. Design security architectures for GenAI and LLM-based applications (e.g., Amazon Bedrock, SageMaker, AgentCore) including guardrails, content filtering, and access controls.
  3. Advise customers on securing agentic AI systems, RAG pipelines, and AI supply chains against emerging threats
  4. Help customers implement core AWS security services including IAM, VPC, KMS, CloudHSM, AWS Organizations, WAF, AWS Network Firewall, and GWLB-based Security Appliances.
  5. Deliver DevSecOps pipelines integrating IaC scanners, SAST, and DAST tools

Skills

Required

  • AWS Cloud Security
  • Network Security
  • Infrastructure Security
  • Application Security
  • Penetration Testing
  • Compliance Audits
  • Cryptography
  • DevSecOps
  • Python
  • Java
  • Go
  • C++
  • IAM
  • VPC
  • KMS
  • CloudHSM
  • AWS Organizations
  • WAF
  • AWS Network Firewall
  • GWLB
  • IaC scanners
  • SAST
  • DAST
  • Amazon Bedrock
  • SageMaker
  • AgentCore
  • Responsible AI governance
  • Data privacy
  • Model explainability
  • Bias detection
  • RAG pipelines
  • AI supply chains
  • Service-linked policies
  • SCPs
  • IAM Identity Center (SSO)
  • Certificate management
  • PKI
  • Data encryption
  • Key management systems
  • AWS IAM
  • 8+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
  • Experience leading highly-available and fault-tolerant enterprise and web-scale software deployments
  • Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
  • Experience with application security frameworks
  • Experience with identity and access controls
  • Experience with incident response
  • Experience with mobile security
  • Experience with cloud computing and security
  • Experience with AI security
  • Experience with threat intelligence
  • Experience with penetration testing

Nice to have

  • Experience with compliance & security

What the JD emphasized

  • security architects who are passionate about Cloud Security
  • worked in regulated industries
  • strong foundation in traditional cloud and infrastructure security, coupled with a forward-looking focus on AI Security
  • deep hands-on experience with AWS Cloud Security, Network & Infrastructure Security, Cryptography, and DevSecOps, alongside growing proficiency in securing AI workloads, LLM applications, RAG pipelines, and agentic systems
  • A passion for helping customers embrace both cloud and AI technologies securely is essential
  • programming skills in at least one language: Python, Java, Go, C/C++, or equivalent
  • Experience with any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing

Other signals

  • securing Generative AI, LLM, and agentic AI workloads
  • design security architectures for GenAI and LLM-based applications
  • advise customers on securing agentic AI systems, RAG pipelines