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AI Platform Architect
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
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Design and develop scalable AI/ML platforms and infrastructure
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Build and manage end-to-end AI pipelines (data → model → deployment)
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Ensure structured AI architecture alignment across all systems
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Lead platform strategy for MLOps, automation, and model lifecycle management
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Integrate AI platforms with cloud environments (AWS, Azure, GCP)
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Ensure platform reliability, scalability, and security
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Collaborate with data scientists, engineers, and DevOps teams
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Optimize performance of AI systems and infrastructure
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Define standards, tools, and frameworks for AI platform development
Requirements
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Strong experience in AI platform architecture and engineering
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Expertise in MLOps, CI/CD pipelines, and model deployment
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Hands-on experience with cloud platforms (AWS, Azure, or GCP)
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Strong knowledge of data engineering, distributed systems, and APIs
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Experience with tools like Kubernetes, Docker, and workflow orchestration
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Understanding of structured AI architecture alignment
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Recognized certifications in cloud or AI technologies (preferred)
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Strong leadership and problem-solving skills
Preferred Qualifications
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Experience with large-scale enterprise AI platforms
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Knowledge of Generative AI and LLM infrastructure
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Familiarity with AI governance, monitoring, and compliance frameworks
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Experience in building reusable AI frameworks and services
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What We Offer
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Competitive salary ($170K – $230K+)
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Opportunity to build and lead advanced AI platforms
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Work with cutting-edge technologies in AI and cloud
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Career growth in high-impact enterprise AI roles
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