Enterprise AI Architect

2 days ago

Mumbai, Maharashtra, India beBeeReliability Full time US$ 1,80,000 - US$ 2,50,000

Job Description

At our cutting-edge organization, we're pushing the boundaries of artificial intelligence to transform the way enterprises operate. We're on a mission to create intelligent, agentic systems that can detect, diagnose, and resolve complex production incidents across massive streams of logs, metrics, traces, and alerts.

We're seeking an exceptional Senior AI Engineer or Research Scientist with a proven track record of developing and deploying AI/ML systems at scale. Your contributions will drive our platform's agentic intelligence, enabling it to conduct root cause analysis (RCA) and automated remediation in demanding enterprise settings.

This role bridges AI research and production engineering, where you'll experiment with large language models, reinforcement learning, and synthetic data, and implement these concepts into scalable, dependable systems.

Key Responsibilities

  1. Design, implement, and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero-data egress, and compliance requirements.
  2. Develop and test reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.
  3. Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows, avoiding reliance on toy datasets.
  4. Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.
  5. Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into our platform.
  6. Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
  7. Keep up with the latest research in LLMs, agentic AI, and reliability, and incorporate these innovations into enterprise production environments.

Required Skills and Qualifications

  • 5+ years of production experience building and deploying ML/AI systems at scale.
  • PhD or Master's in Computer Science, Machine Learning, or related fields (or equivalent experience).
  • Strong foundation in deep learning, reinforcement learning, or robotics.
  • Hands-on experience with LLM fine-tuning, RLHF, or synthetic data generation.
  • Proven track record of shipping AI systems into production (not just research prototypes).
  • Experience with cloud-native architectures (AWS/Azure/GCP), Kubernetes, and MLOps tooling (SageMaker, MLflow, Ray, Kubeflow).
  • Comfort working with large-scale data streams (Kinesis, Kafka, Flink) and vector databases (OpenSearch, Pinecone, Weaviate).
  • Strong collaboration skills and ability to communicate across research, engineering, and product teams.

Benefits

  • Work on high-impact AI challenges that sit at the intersection of AI, DevOps, and enterprise reliability.
  • Shape the core intelligence layer of a product designed to be enterprise-ready from day one.
  • Collaborate with a world-class founding team experienced in AI, DevOps, and large-scale systems.
  • Competitive compensation, equity (ESOPs), and a chance to join at an early stage with an outsized impact.
  • A culture that values research rigor, engineering excellence, and execution speed.

Others

We're passionate about innovation, driven by curiosity, and committed to making a meaningful difference in the lives of those around us. If you share our vision and are ready to take on new challenges, we'd love to hear from you

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