Staff Engineer - AI

Position Overview

It’s about process, progress, and people. As a Staff Engineer – AI at Frost, you will be a subject matter expert driving technical efforts in AI reliability, bias mitigation, and drift detection. You will architect intelligent systems and innovative workflows, collaborating with cross-functional teams to translate business needs into secure and scalable solutions. At Frost, a legacy spanning over 150 years, you’ll join a team committed to excellence, integrity, and fostering an environment where you can grow both personally and professionally.

Key Responsibilities

• Architect intelligent systems and workflows involving agentic behavior and LLM decision-making
• Drive design sessions for agent loop architectures, tool orchestration, and task planning
• Lead technical efforts on AI reliability, bias mitigation, and drift detection
• Collaborate with product and design leaders to define outcomes and performance metrics
• Act as a system designer and workflow architect rather than just a code implementer
• Evaluate agent behavior using AI principles such as fairness, reliability, explainability, and safety
• Optimize performance of agentic systems with caching, throttling, and fallback strategies
• Mentor engineers on LLM prompting, agent decomposition, and tool design best practices
• Oversee the full lifecycle of AI-powered systems from architecture to optimization
• Provide technical leadership and mentorship to software developers and AI engineers
• Shape and execute the AI platform roadmap focusing on inference engines, document intelligence, and conversational agents
• Partner with Product, Data Science, Security, and Compliance to translate business needs into scalable solutions
• Drive hands-on implementation of microservices, APIs, and real-time AI features while fostering best practices
• Monitor system health and optimize production systems for reliability, latency, and security
• Research and pilot new AI technologies, frameworks, and methods to enhance capabilities
• Always take action using Integrity, Caring, and Excellence to achieve optimal outcomes

Required Qualifications

• Bachelor’s in Computer Science, Data Science, or a related field
• 6+ years of experience with enterprise-grade AI/ML systems
• Deep understanding of event-driven design, API orchestration, prompt engineering, tool orchestration, and system modularity
• Strong skills in prompt engineering, memory and context handling, and agent loop optimization
• Extensive experience with AI/ML tools such as PyTorch, TensorFlow, MLflow, Hugging Face Transformers, FastAPI, LangChain, vector databases, and agent loop architectures
• Familiarity with microservices, container technologies (Docker/Kubernetes), and API architectures
• Ability to integrate LLMs and ML models into critical systems securely and at scale
• Proficiency in Python (with ML frameworks) and Java/TypeScript for microservices
• Experience leading teams in applying LLMs and autonomous agents to real-world problems

Benefits & Perks

• Medical, dental, vision, long-term disability, and life insurance
• 401(k) matching
• Generous holiday and paid time off schedule
• Tuition reimbursement
• Extensive health and wellness programs including an Employee Assistance Program
• Referral bonus program and more!