Senior Enterprise AI Architect

1 week ago

Vijayawada, Andhra Pradesh, India beBeeIntelligence Full time ₹ 3,00,000 - ₹ 5,00,000
Agentic Systems Engineer

We are building the world's first enterprise-ready incident copilot — intelligent systems that detect, diagnose, and resolve complex production incidents.

The role requires a Senior AI Engineer or Research Scientist with practical experience in developing and deploying AI/ML systems at scale. The contributions will drive our agentic intelligence, allowing our platform to conduct root cause analysis (RCA) and automated remediation in demanding enterprise settings.

Responsibilities:
  • AI Agent Design: Design, implement, and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.
  • Reasoning Workflows: Develop and test reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.
  • Ai Behavior Alignment: Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows, thereby avoiding reliance on toy datasets.
  • Synthetic Data Pipelines: Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.
  • Collaboration: Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into our platform.
  • System Design: Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.

This position bridges AI research and production engineering. You will experiment with LLMs, reinforcement learning, and synthetic data, and also implement these concepts into enterprise-grade, scalable, and dependable systems.

Why This Opportunity?

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

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