
Chief AI Infrastructure Architect
3 days ago
As a seasoned Engineering Manager, you will spearhead the development of cutting-edge GenAI infrastructure. This encompasses our internal LLM Proxy, benchmarking framework, data annotations, and agentic workflow orchestration tools.
You'll empower ML/AI teams by crafting secure, cost-effective, and developer-friendly ML platforms that scale across use cases and products.
Key Responsibilities:- Direct a high-performing team of AI/ML platform engineers to deliver the core infrastructure powering LLM-based applications.
- Own the design, rollout, and optimization of the LLM Proxy, enabling safe, observable, and cost-efficient access to multiple foundation models.
- Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.
- Partner with applied ML, product, and infrastructure teams to align platform investments with AI roadmap priorities.
- Establish strong engineering practices around observability, reliability, security, and cost monitoring.
- Foster a team culture that emphasizes mentorship, inclusion, and technical excellence.
- Proven experience managing high-performing engineering teams in the ML/AI or infrastructure space.
- Deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.
- Experience owning the full lifecycle of ML/AI platform components—from early design to production deployment.
- Strong communication skills and an ability to influence technical direction across teams and partners.
- A pragmatic mindset: balancing innovation with scalability and performance in enterprise environments.
- A dedication to continual self-development.
- Collaborative, upbeat work ethic where you can take ownership and have fun.
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