Job Description
Job description What you ll build 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. What you bring 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. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. Role: Technical Architect Industry Type: Building Material Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills remediationAutomationSAPcloud securityGCPOWASPInformation technologyAnalyticsMonitoringPenetration testing
