Director of Applied AI Engineering

📋 Description

• Build and lead a high-performing Applied AI Engineering team, establishing its operating model
• Partner with product teams, customers, and business stakeholders to understand existing workflows
• Lead rapid discovery, experimentation, and prototyping, ensuring successful concepts transition
• Architect, develop, deploy, and maintain production-grade AI applications, including agentic
• Design modular, reusable integrations that enable AI agents to securely access enterprise systems
• Own the AI evaluation lifecycle by establishing benchmark datasets, offline and online evaluations

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent
• At least 10 years of experience in software engineering, machine learning, or a related technical
• At least 2 years of experience building and deploying production systems powered by large language
• At least 4 years of hands-on engineering management experience, with a demonstrated track record of
• Strong software engineering fundamentals and the ability to personally debug, troubleshoot, and
• Practical expertise in code-level AI SDKs and agent frameworks, such as LangGraph, CrewAI, or AWS

🎁 Benefits

• Competitive compensation: Annual salary range of $207,000–$290,000, depending on work location
• Health coverage: Medical, dental, and vision insurance.
• Retirement planning: 401(k) plan with employer matching contributions.
• Work-life balance: Flexible paid time off.
• Family support: Paid maternity and paternity leave.
• Mental health and wellness: Access to mental health support and well-being programs.