Chief AI Infrastructure Architect

1 week ago

hubballi, India beBeeDevops Full time

Key ResponsibilitiesWe are seeking a highly skilled Senior AI Platform Engineer to join our organization. The successful candidate will be responsible for designing and operating a highly available, scalable, modular AI platform using cutting-edge technologies like Qdrant, Anyscale, and Ray.Design and build a robust AI platform to support Large Language Model orchestration, vector search, and multi-agent frameworks.Develop core infrastructure to power conversational applications, AI agents, and analytics tools.Implement workflows for Large Language Models including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.Deploy AI services on cloud platforms with Kubernetes (EKS), Lambda, and ECS ensuring scalability and resilience while optimizing vector databases and model runtimes for cost and performance.Collaborate with engineering teams and 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 and reviews.RequirementsThe ideal candidate will have a minimum of 8 years of experience as a Platform Engineer (Site Reliability / DevOps Engineer) with at least 3+ years in AI/ML platform development (MLOps). They will also possess deep expertise in Python with strong design and debugging skills.Excellent problem-solving, analytical, and communication skills with the ability to work independently and lead complex projects.Proficiency working with cloud platforms such as AWS, GCP, or Azure and familiarity with MLOps/AI DevOps tools like MLflow or Kubeflow, proficient in CI/CD, infrastructure as code (Terraform / CloudFormation).

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