AI/ML Architect

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