Robotics Technologies
United States
Principal AI Architect (Enterprise AI Lifecycle & Architecture)
- AI
- Continuous Delivery
- Design Patterns
- Devops
AI Summary
Own the quality and intelligence of multi-channel marketing agents at an early-stage AI company. Shape agent architecture, evaluation systems, learning loops, and help build the AI team. Requires 3+ years building production ML/AI systems and proficiency in TypeScript and Python.
Key Highlights
First senior AI hire at an early-stage AI company
Own quality and intelligence of multi-channel marketing agents
Shape agent architecture, evaluation systems, and learning loops
Help hire and lead the AI team as it grows
On-site in San Francisco, California
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Key Responsibilities
Improve the quality of agent-generated content for social channels and articles, using evaluation systems to make quality measurable.
Improve performance across search engine optimization and generative engine optimization.
Build feedback loops that help agents learn from real-world results and performance signals.
Improve production AI infrastructure, agent architecture, model strategy, and supporting data pipelines.
Help hire and lead the AI team as it grows.
Technical Skills Required
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Benefits & Perks
Visa sponsorship
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Nice to Have
Experience with search, ranking, or AI answer engines
Marketing or go-to-market experience
Recommendation systems
Algorithms
Reinforcement learning
Job Description
About the Role
As the first senior AI hire at an early-stage AI company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape agent architecture, evaluation systems, and learning loops, and help build the AI team as the company grows.
What You'll Do
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