AI Security Architect
SAP Labs · Bangalore · 10+ yrs experience · Posted 2026-05-07
Tech stack: AWS, Azure, GCP, Go, Kubernetes
About the role
Responsibilities:
- In this role, you will design and deliver secure-by-design architectures for Generative AI and Agentic AI solutions across enterprise cloud environments.
- You will build scalable security frameworks, controls, and reference architectures that enable safe, compliant, and production-ready AI deployments.
- Your work will directly strengthen how AI systems are developed, integrated, and operated—protecting critical business data, applications, and services from emerging AI-specific threats such as prompt injection, model manipulation, and data exposure.
- You will establish end-to-end security patterns for AI pipelines including RAG workflows, vector databases, embeddings, and agent communication.
- You will enable teams to confidently innovate with AI by embedding security into the full lifecycle—from architecture and development to deployment and operations.
- This includes integrating security into CI/CD pipelines, defining automated guardrails, and implementing monitoring, auditability, and incident response mechanisms.
- By partnering across engineering, platform, and product teams, you will drive secure adoption of AI at scale, ensuring compliance with enterprise and regulatory standards while accelerating innovation in AI-powered services.
Qualifications:
- 7–10 years of experience in security architecture or engineering, with exposure to AI/ML, Generative AI, and Agentic AI systems
- Solid understanding of cloud security across AWS, Azure, or GCP, including containerized and cloud-native environments
- Strong knowledge of AI-specific threats (e.g., prompt injection, data poisoning) and secure design practices for AI pipelines, RAG patterns, and Agentic AI systems
- Familiarity with emerging frameworks and guidelines such as the OWASP Top 10 for LLMs
- and OWASP Agentic AI security concepts
- Hands-on experience integrating security into CI/CD pipelines, automation, and infrastructure-as-code environments
- Good understanding of modern application and API security (OAuth2/OIDC, secrets
- management, microservices architecture)
- Experience working with SAP technologies and platforms such as SAP BTP, Kyma/Kubernetes environments, SAP integrations, and enterprise tools (e.g., ServiceNow, SAP Solution Manager, AI registries)
- Proven ability to collaborate across teams and influence secure design decisions in complex enterprise environments
- Growth mindset with curiosity to continuously learn and adapt in the rapidly evolving AI and security landscape
- Good to have: experience managing or supporting software penetration testing activities, including coordination, remediation tracking, and risk prioritization
- Where you belong
- You will join a team that is outcome-driven, results-focused, and built on a strong “go-get” attitude. We value ownership, initiative, and collaboration—where ideas turn quickly into action and impact. You’ll work in a supportive, high-energy environment that encourages innovation, continuous learning, and delivering meaningful results together.
Qualifications
- 7–10 years of experience in security architecture or engineering, with exposure to AI/ML, Generative AI, and Agentic AI systems
- Solid understanding of cloud security across AWS, Azure, or GCP, including containerized and cloud-native environments
- Strong knowledge of AI-specific threats (e.g., prompt injection, data poisoning) and secure design practices for AI pipelines, RAG patterns, and Agentic AI systems
- Familiarity with emerging frameworks and guidelines such as the OWASP Top 10 for LLMs and OWASP Agentic AI security concepts
- Hands-on experience integrating security into CI/CD pipelines, automation, and infrastructure-as-code environments
- Good understanding of modern application and API security (OAuth2/OIDC, secrets management, microservices architecture)
- Experience working with SAP technologies and platforms such as SAP BTP, Kyma/Kubernetes environments, SAP integrations, and enterprise tools (e.g., ServiceNow, SAP Solution Manager, AI registries)
- Proven ability to collaborate across teams and influence secure design decisions in complex enterprise environments
- Growth mindset with curiosity to continuously learn and adapt in the rapidly evolving AI and security landscape
- Good to have: experience managing or supporting software penetration testing activities, including coordination, remediation tracking, and risk prioritization
- Where you belong
- You will join a team that is outcome-driven, results-focused, and built on a strong “go-get” attitude.
- We value ownership, initiative, and collaboration—where ideas turn quickly into action and impact.
- You’ll work in a supportive, high-energy environment that encourages innovation, continuous learning, and delivering meaningful results together.
Responsibilities
- In this role, you will design and deliver secure-by-design architectures for Generative AI and Agentic AI solutions across enterprise cloud environments.
- You will build scalable security frameworks, controls, and reference architectures that enable safe, compliant, and production-ready AI deployments.
- Your work will directly strengthen how AI systems are developed, integrated, and operated—protecting critical business data, applications, and services from emerging AI-specific threats such as prompt injection, model manipulation, and data exposure.
- You will establish end-to-end security patterns for AI pipelines including RAG workflows, vector databases, embeddings, and agent communication.
- You will enable teams to confidently innovate with AI by embedding security into the full lifecycle—from architecture and development to deployment and operations.
- This includes integrating security into CI/CD pipelines, defining automated guardrails, and implementing monitoring, auditability, and incident response mechanisms.
- By partnering across engineering, platform, and product teams, you will drive secure adoption of AI at scale, ensuring compliance with enterprise and regulatory standards while accelerating innovation in AI-powered services.