What's the salary range?

Peregrine lists $225,000–$320,000 for this role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Deep Learning, reinforcement learning.

What seniority level is this role?

Peregrine targets lead candidates for this position.

Is this full-time or contract?

Full-time for this Applied AI Engineering Lead role at Peregrine.

Applied AI Engineering Lead at Peregrine

Joblaze summary

In the role of Applied AI Engineering Lead at Peregrine, the individual will focus on developing and implementing AI-powered features that enhance decision-making in high-stakes environments. Key skills include expertise in AI/ML infrastructure, model evaluation, and fine-tuning techniques, particularly in mission-critical settings. This position is ideal for someone with a strong software engineering background and experience leading teams, especially in sectors where trust and reliability are paramount. Peregrine's commitment to operational excellence positions this role at the forefront of impactful AI deployment.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Peregrine's career page.
Peregrine has 90 other open roles including Recruiting Coordinator, Major Client Advocate, Ohio, Controller.
5148 active AI/ML roles on Joblaze right now.
135 active reinforcement learning roles on Joblaze right now.
133 active Deep Learning roles on Joblaze right now.
Salary band is above the typical range for AI/ML roles (median ~$188,000).
Pays more than 73% of the 2236 salaried AI/ML roles we track (median $180,000). See AI/ML salary trends

Quick facts

What's the salary range?: Peregrine lists $225,000–$320,000 for this role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Deep Learning, reinforcement learning.
What seniority level is this role?: Peregrine targets lead candidates for this position.
Is this full-time or contract?: Full-time for this Applied AI Engineering Lead role at Peregrine.

From the original posting

Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges 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 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.

The Role

Peregrine builds an end-to-end intelligence platform. As the Applied AI Engineering Lead, 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.

What You’ll Do

Build AI-Powered Product Capabilities

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

AI/ML Foundations

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

AI Infrastructure

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

Evaluation, Trust, and Quality

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

Leadership & AI Strategy

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

What We’re Looking For

Required

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

Strong Plus

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

What Success Looks Like

AI features are deeply embedded in Peregrine’s core product and relied on by customers
AI is applied to generate outcomes that are measurable, monitored, and improving over time
Make AI a force multiplier both internally and externally

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Annual Salary + Benefits + Equity (if applicable) + Bonus (if applicable)

$225,000—$320,000 USD

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.