Lead of Applied AI

Peregrine Technologies•San Francisco, CA

About The Position

Backed by leading Silicon Valley investors, Peregrine helps the world’s most complex organizations solve their hardest problems with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence—instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today, Peregrine supports hundreds of customers across 23 states and two countries, serving more than 90 million people—and we’re amplifying our impact as we expand into more industries. We’re a team of entrepreneurs—undaunted by the hard problems and united by a passion to make a difference where it matters most. We collaborate relentlessly, move with urgency, and act with purpose. If you’re driven by mission and energized by the opportunity to build something new, join us in defining Peregrine’s future. The Role Peregrine builds an end-to-end intelligence platform. As the Lead of Applied AI, you will own how artificial intelligence is applied, evaluated, and operationalized across our product, turning complex data into trusted, explainable, and high-impact capabilities used in the field. This role is about production AI in high-consequence environments. You’ll lead to develop AI-powered features that help customers detect risk, surface insights, and make faster, better decisions while maintaining high reliability, transparency, and performance.

Requirements

Demonstrated experience shipping AI-powered features into production, ideally in enterprise or mission critical environments
Hands-on experience with model fine tuning (LLMs or deep learning models)
Practical exposure to reinforcement learning
Experience in designing and operating AI/ML infrastructure
Direct ownership of model evaluation, experimentation, and quality measurement
Strong software engineering fundamentals as a lead

Nice To Haves

Experience working with large scale and/or real-time data platforms.
Background in domains where trust, explainability, and reliability matter (e.g., public sector, security, healthcare, finance)
Led software engineering teams before

Responsibilities

Lead the design and deployment of customer facing AI features across Peregrine’s platform
Translate real operational problems into deployable AI-powered solutions
Partner deeply with Product, Deployment Strategists, and other Engineering teams to integrate AI into core workflows
Own and guide fine tuning strategies and reinforcement learning to improve decision quality
Make principled tradeoffs between classical ML, deep learning, and LLM-based approaches based on accuracy, latency, and risk
Shape Peregrine’s AI infrastructure, including: Training and inference pipelines Model serving, versioning, and rollback Integration with real-time and batch data systems
Ensure models are observable, scalable, secure, and cost-effective in production
Meet enterprise and government requirements
Define and operate robust evaluation frameworks
Establish quality standards that reflect real-world decision impact, not just model accuracy
Own monitoring, drift detection, and failure analysis for deployed models
Build and lead a high-performing Applied AI/ML team
Set technical direction for applied AI across Peregrine
Partner with executive leadership on AI strategy, roadmap, and responsible deployment