
Enterprise AI Solutions Lead
2 days ago
We are seeking a seasoned professional to lead the development and deployment of advanced AI systems.
Job OverviewThis position requires strong expertise in designing, implementing, and deploying enterprise-grade AI solutions. You will work closely with cross-functional teams to integrate AI research into our product platform.
The ideal candidate will have hands-on experience with large-scale data streams, cloud-native architectures, and MLOps tooling.
- Key Responsibilities:
- Design and implement AI agents that operate reliably under enterprise constraints.
- Develop and test reasoning workflows for large-scale observability data.
- Utilize techniques like fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real-world SRE workflows.
- Create scalable pipelines for producing synthetic incidents used for training and benchmarking.
- Collaborate with infrastructure engineers, SREs, and product leaders to incorporate AI research into our platform.
To be successful in this role, you must have:
- 5+ years of production experience building and deploying ML/AI systems at scale.
- A strong foundation in deep learning, reinforcement learning, or robotics.
- Hands-on experience with LLM fine-tuning, RLHF, or synthetic data generation.
- A proven track record of shipping AI systems into production.
- Experience with cloud-native architectures, Kubernetes, and MLOps tooling.
We offer:
- A competitive compensation package.
- Equity (ESOPs) in a cutting-edge AI company.
- A collaborative and dynamic work environment.
We value research rigor, engineering excellence, and execution speed. Our team is passionate about developing innovative AI solutions that drive business outcomes.
This role offers a unique opportunity to make a significant impact on the future of AI-driven enterprise reliability.
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