AI Platform Architect

7 days ago


bikaner, India beBeeDevops Full time

Senior AI Platform EngineerThis is a highly rewarding role that involves designing and operating a high-performance, scalable, modular AI platform using cutting-edge technologies to support Large Language Model (LLM) orchestration, vector search, and multi-agent frameworks.Key Responsibilities:Platform Design: Develop and operate a high-availability, scalable, modular AI platform that supports LLM orchestration, vector search, and multi-agent frameworks.Core Infrastructure Development: Build and maintain essential APIs and infrastructure to power conversational applications, AI agents, and analytics tools.LLM Operational Solutions: Implement workflows for Large Language Models, including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.Deployment & Performance Optimization: Deploy AI services on cloud platforms with Kubernetes, Lambda, and ECS, ensuring scalability and resilience while optimizing vector databases and model runtimes for cost and performance.Collaboration, Governance, & Mentorship: Partner with engineering teams, research teams to deliver production-grade, self-healing, and performance-optimized services for AI/RAG pipelines, establish governance/security standards, and mentor junior engineers in AI infrastructure best practices.The ideal candidate will have 8+ years of experience as a Platform Engineer or Site Reliability/DevOps Engineer, with at least 3+ years in AI/ML platform development (MLOps). Strong expertise in Python, cloud platforms like AWS, GCP, or Azure, and MLOps/AI DevOps tools is required.Benefits: As a Senior AI Platform Engineer, you will be part of a dynamic team working on cutting-edge AI projects. You will have the opportunity to grow your skills and expertise, work on complex problems, and contribute to the development of innovative AI solutions.Required Skills and Qualifications: To succeed in this role, you should have strong technical skills, excellent communication skills, and experience working in agile environments. You should also be familiar with cloud platforms, containerization, and continuous integration/continuous deployment (CI/CD) pipelines.Other Information: The successful candidate will be based in [location] and will be responsible for collaborating with cross-functional teams to design, develop, and deploy AI-powered solutions.



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