Job Description We are seeking experienced ML/AI Platform Architects/Engineers to design, build, and manage enterprise-scale AI/ML platforms. The role will focus on establishing scalable, secure, and production-ready AI capabilities, including Feature Stores, Model Catalogs, Agentic AI platforms, and AI Governance frameworks. Key Responsibilities
- Design and own the end-to-end architecture for enterprise AI/ML platforms.
- Build and operationalize Feature Store and Model Catalog capabilities to support reusable feature engineering, model versioning, and self-service ML adoption.
- Develop and manage Agentic AI platform infrastructure, including agent runtimes, orchestration frameworks, tool integrations, and agent lifecycle management.
- Establish and maintain Agent Catalog capabilities to enable deployment, discovery, monitoring, and governance of AI agents.
- Design and implement AI governance controls, including access management, policy enforcement, audit logging, monitoring, and observability.
- Develop MLOps pipelines and cloud-native deployment frameworks to support scalable AI/ML workloads.
- Collaborate with Data Science, Engineering, Security, and Business teams to deliver enterprise AI solutions.
Requirements
- Required Skills 5+ years of experience in AI/ML platform engineering, cloud architecture, or MLOps.
- Strong experience with AI/ML platforms, Feature Stores, Model Registries/Catalogs, and MLOps frameworks.
- Hands-on experience with Agentic AI, LLM platforms, and orchestration frameworks.
- Proficiency in Python, APIs, Kubernetes, Docker, and cloud platforms (Azure preferred).
- Knowledge of AI governance, security, compliance, and observability best practices.
- Strong problem-solving, architecture, and communication skills.
Pay: ₹1,300,000.00 - ₹1,500,000.00 per year
Application Question(s):
- What is your CCTC?
- What is your ECTC?
- What is your last working day and date?
- What is your Notice Period?
- How many total years of experience do you have?
Work Location: Remote
