AI/ML Architect – AI Governance & Security

Role Overview We are looking for a highly skilled AI/ML Architect to design and scale a secure, enterprise-grade AI governance platform. This role focuses on building AI-powered enforcement systems, integrating with enterprise ecosystems, and ensuring runtime control, validation, and compliance across AI/LLM environments.Roles & Responsibilities Design and architect scalable, multi-tenant SaaS platforms with security-first principles. Build AI/ML systems leveraging LLM APIs (OpenAI, Gemini, Anthropic), RAG pipelines, and semantic policy enforcement. Develop API gateways, middleware, and runtime enforcement layers. Implement identity-aware authorization models (RBAC/ABAC) and real-time access controls. Integrate with enterprise systems (Identity providers, Cloud IAM, Security tools, SaaS platforms). Establish cloud-native infrastructure with CI/CD, containerization, logging, and monitoring. Collaborate with stakeholders to evolve MVP into a production-grade enterprise solution.Skills & Experience Required 6+ years in software engineering, with 3+ years in architecture/lead roles. Strong hands-on experience in AI/ML development using Python and LLM ecosystems. Experience building scalable full-stack applications (React/Next.js/TypeScript preferred). Solid expertise in cloud platforms (GCP/AWS/Azure), Docker, Kubernetes, CI/CD. Experience designing API-first systems and distributed architectures. Strong understanding of AI security risks and governance frameworks. Good to have knowledge of compliance audits and regulatory standards including ISO 27001, SOC 2, ISO 42001, NIST CSF, NIST AI RMF, and emerging AI regulatory framework

Apply Now