AI Infrastructure Architect

2 weeks ago

Agra, Uttar Pradesh, India beBeeLlmops Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Are you ready to drive innovation and growth in a dynamic environment?

We are seeking an experienced LLM Ops Lead/Architect to spearhead the deployment, scaling, and monitoring of large language models (LLMs) in production.

The ideal candidate will have strong hands-on expertise with MLOps frameworks, cloud-native architectures, and modern DevOps practices, combined with leadership skills to align cross-functional stakeholders and establish best practices for LLM operations.

Key Responsibilities:

  • Design and implement LLM Ops infrastructure for training, fine-tuning, and large-scale inference.
  • Establish and enforce best practices for model deployment, monitoring, retraining, and continuous improvement.
  • Implement security, compliance, and responsible AI guardrails to ensure safe and ethical LLM usage.
  • Partner closely with data science, research, and product teams to streamline the LLM lifecycle.
  • Build and manage Ops automation pipelines for dataset updates, retraining, and model versioning.
  • Evaluate and implement tools for cost optimization and performance tuning in large-scale environments.
  • Provide technical leadership and mentor teams on LLMOps methodologies.

Requirements:

  • Strong expertise in LLM deployment, scaling, and monitoring.
  • Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).
  • Hands-on with cloud-native architectures.
  • Strong background in CI/CD pipelines, containerization (Docker, Kubernetes), and microservices.
  • Solid understanding of observability tools (Prometheus, Grafana, OpenTelemetry).
  • Deep knowledge of model evaluation, drift detection, prompt management, and AI safety guardrails.
  • Programming expertise in Python and Bash scripting.
  • Experience with vector databases and RAG pipelines.
  • Strong leadership and stakeholder communication skills.
  • Knowledge of LLM safety, bias mitigation, and regulatory compliance.

What We Offer:

A competitive compensation package, performance-based incentives, health benefits, company-sponsored certifications, training programs, skill-building opportunities, remote work options, fully supported work-from-home setup, team activities, wellness, and mental health programs to support your professional and personal growth.

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