job Overview

We are seeking a highly experienced AI Platform Architect to design, build, and scale enterprise-level AI platforms. This role focuses on creating robust infrastructure and frameworks that enable seamless development, deployment, and management of AI and machine learning solutions across the organization.

Key Responsibilities

• Design and develop scalable AI/ML platforms and infrastructure

• Build and manage end-to-end AI pipelines (data → model → deployment)

• Ensure structured AI architecture alignment across all systems

• Lead platform strategy for MLOps, automation, and model lifecycle management

• Integrate AI platforms with cloud environments (AWS, Azure, GCP)

• Ensure platform reliability, scalability, and security

• Collaborate with data scientists, engineers, and DevOps teams

• Optimize performance of AI systems and infrastructure

• Define standards, tools, and frameworks for AI platform development

  Requirements

  • Strong experience in AI platform architecture and engineering

  • Expertise in MLOps, CI/CD pipelines, and model deployment

  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)

  • Strong knowledge of data engineering, distributed systems, and APIs

  • Experience with tools like Kubernetes, Docker, and workflow orchestration

  • Understanding of structured AI architecture alignment

  • Recognized certifications in cloud or AI technologies (preferred)

  • Strong leadership and problem-solving skills

  Preferred Qualifications

  • Experience with large-scale enterprise AI platforms

  • Knowledge of Generative AI and LLM infrastructure

  • Familiarity with AI governance, monitoring, and compliance frameworks

  • Experience in building reusable AI frameworks and services

  • What We Offer

    • Competitive salary ($170K – $230K+)

    • Opportunity to build and lead advanced AI platforms

    • Work with cutting-edge technologies in AI and cloud

    • Career growth in high-impact enterprise AI roles