Job Title: Senior AI Architect
Location: Sunnyvale / SF, CA (Hybrid)
Level: Senior - Architect (based on experience)
About the RoleWe're looking for a Senior AI Engineer who has spent the last 2+ years building real AI products at the frontier-someone who understands modern AI deeply and has turned that understanding into production systems used by customers.
This role is ideal for candidates with experience at a frontier AI company, top research lab, or PhD-level background who want their work to directly shape product and user experience rather than remain purely research-driven.
You will own AI-powered features end-to-end, working closely with product and engineering to bring cutting-edge models into reliable, scalable, and user-facing systems.
What You'll Do- Own and deliver AI-driven product features end-to-end, from problem definition to production rollout
- Design AI systems that are deeply grounded in company data, using large-scale datasets to create rich context for models
- Partner with data engineering and analytics teams to:
- Leverage data warehouses and lake house architectures (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Define data models and pipelines that power AI use cases
- Apply data science best practices to understand user behavior, system performance, and model impact
- Build and maintain data-driven context layers for AI systems, such as:
- Retrieval and ranking pipelines
- Feature stores or embedding indices
- Aggregations and transformations over large datasets
- Translate raw, messy, large-scale data into clean, structured inputs that improve model quality and reliability
- Make pragmatic tradeoffs across data freshness, model performance, latency, and cost
- Define evaluation, monitoring, and feedback loops using both offline analysis and production metrics
- Collaborate closely with product managers to align AI capabilities with user needs and business goals
- Iterate quickly: ship, measure impact, refine models and data pipelines, and repeat
Required Qualifications- 5+ years of related professional experience in software engineering, machine learning, data science, or closely related technical roles
- At least 2+ years of recent, hands-on experience working deeply in modern AI
- AI must be a primary responsibility, not a side project or minor component of the role
- One or more of the following backgrounds:
- Senior-level engineer or applied scientist at a frontier AI company
- PhD in Machine Learning, AI, Computer Science, or a closely related field
- Experience in a top academic or industrial AI lab, combined with strong product execution
- Strong experience applying modern deep learning techniques (e.g., transformer-based models) to real-world problems
- Proven ability to ship AI-powered features to production and maintain them over time
- Excellent programming skills in Python, with experience in production ML frameworks (e.g., PyTorch, JAX)
- Ability to independently scope ambiguous problems and deliver end-to-end AI solutions in collaboration with product and engineering teams
Preferred Qualifications- Publications at top venues (e.g., NeurIPS, ICML, ICLR, ACL, CVPR), or equivalent industry impact
- Experience fine-tuning, aligning, or evaluating large models (e.g., RLHF, preference modeling, eval harnesses)
- Ability to reason deeply about model behavior, failure modes, and scaling tradeoffs
What Success Looks Like- You can own ambiguous, high-stakes AI problems end-to-end
- You are comfortable operating where research meets production
- You bring strong technical judgment on what actually works in practice, not just in papers
- You raise the bar for AI rigor, speed, and quality across the team
- You help define what's next, not just execute what's known
