Principal Applied AI Scientist
About The Position
We are looking for a Principal Applied AI Scientist to lead the design and deployment of cutting-edge Generative AI and LLM-powered systems for real-world, high-impact applications. This is a senior, hands-on leadership role for someone who can operate across the full stack of modern AI — from research and modeling to production systems and productization — while leading teams and defining technical direction. You will work at the intersection of LLMs, agentic systems, retrieval architectures, and large-scale AI platforms, building systems that move beyond prototypes into robust, production-grade intelligence systems.
Requirements
- 7+ years of experience in Applied AI / Machine Learning / Generative AI
- M.S. in Computer Science, AI, Machine Learning, or a related field. PhD preferred.
- Proven experience building and deploying production-grade AI systems at scale
- Demonstrated leadership managing large cross-functional teams
- Strong experience engaging with executives and product stakeholders
- Deep expertise in LLMs, RAG, and agentic AI systems at scale
- Strong system design skills across data, models, and infrastructure
- Ability to move from research ideas → production systems → business impact
- Strong ownership mindset with the ability to operate in fast-moving startup environments
- Experience with multi-agent orchestration frameworks and tool ecosystems
Nice To Haves
- Experience applying AI in cybersecurity, enterprise SaaS, or data-intensive domains
- Background in search or large-scale retrieval systems
Responsibilities
- Lead the end-to-end design and development of large-scale AI/ML and Generative AI systems
- Architect and deploy LLM-powered applications, including RAG pipelines and multi-agent systems
- Drive the technical vision and roadmap for applied AI across the company
- Build and lead a high-performing team of scientists and engineers
- Design scalable retrieval and embedding systems powering intelligent applications
- Develop agentic AI systems with tool use, memory, and reasoning capabilities
- Own model lifecycle: data curation → training/fine-tuning → evaluation → deployment → monitoring
- Partner with product, engineering, and executive leadership to translate business problems into AI solutions
Benefits
- Generous compensation
- Highly competitive salaries
- Equity options
- Supportive work environment
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What This Job Offers
Job Type
Full-time
Career Level
Principal
