High-Impact Enterprise AI Solutions Architect

6 days ago

Mysore, Karnataka, India beBeeResponsibility Full time US$ 1,50,000 - US$ 2,00,000
Enterprise AI Engineer

We are seeking a seasoned expert in developing and deploying artificial intelligence (AI) systems at scale. Your contributions will drive the development of high-impact AI solutions that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.

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

  • Enterprise-Ready AI Development: Design, implement, and deploy AI agents that operate reliably under enterprise constraints.
  • LLM & Agent Research: Develop and test reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.
  • Training & 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 Generation: Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.
  • Cross-Team Collaboration: Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into our platform.
  • Production Excellence: Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.

Requirements

  • 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.
  • 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).

Benefits

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

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