AI/ML Architect

AppleTech; India; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading tech firm in India seeks a skilled AI/ML Architect to design and scale a secure AI governance platform. The ideal candidate will have over 6 years in software engineering and strong experience in AI/ML development, particularly using Python and LLM ecosystems. Key responsibilities include building scalable SaaS platforms, developing AI enforcement systems, and ensuring compliance across AI environments. This position offers opportunities for collaboration to transform MVPs into enterprise-grade solutions.

Qualifications

• 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 using modern frameworks.

Responsibilities

• Design and architect scalable, multi-tenant SaaS platforms with security-first principles.
• Build AI/ML systems leveraging LLM APIs and semantic policy enforcement.
• Collaborate with stakeholders to evolve MVP into a production-grade enterprise solution.

Skills

Software engineering

AI/ML development

Python

LLM ecosystems

Full-stack applications

API-first systems

Distributed architectures

AI security risks

Governance frameworks

Tools

React

Next.js

TypeScript

Job description

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.

• 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).
• 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