2 days ago
Remote, United States
Senior / Staff+
H1B Sponsor
Base Salary
$293k - $410k/yr
Responsibilities
- Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform.
- Define the platform architecture and operating model for reliable GenAI product deployment.
- Drive the strategy for a unified LAG Gateway with consistent APIs for LLMs.
- Set direction for core platform capabilities like rate management and production resilience.
- Shape Reddit’s approach to an enterprise-grade RAG system.
- Establish strategic direction for agentic AI workflows across the platform.
- Own the end-to-end platform strategy from concept to production.
- Drive MLOps and LLMOps standards across CI/CD and lifecycle management.
- Define best practices for observability and operational excellence in GenAI systems.
- Partner with engineering, product, and leadership to align platform investments.
Requirements
- 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
- Proven track record of leading technical strategy and delivering AI platforms at scale.
- Strong execution skills in driving complex initiatives and delivering high-quality outcomes.
- Deep experience with Kubernetes and orchestration systems in production environments.
- Experience with cloud technologies like AWS and Google Cloud Storage.
- Proficiency in programming languages and frameworks such as Go and Python.
- Excellent communication skills for articulating technical concepts to non-technical stakeholders.
- Strong focus on scalability, reliability, performance, and developer experience.
- Knowledge of model serving and observability for AI systems is a plus.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs.
- 401k with Employer Match.
- Global Benefit programs that fit your lifestyle.
- Family Planning Support.
- Gender-Affirming Care.
- Mental Health & Coaching Benefits.
- Flexible Vacation & Paid Volunteer Time Off.
- Generous Paid Parental Leave.
Tech Stack
AWSGoGoogle CloudKubernetesPythonTerraform
Categories
AI & MLData ScienceDevOps
