Applied AI Engineering Lead

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

• 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