Senior Manager, AI/ML Infra Engineering

Summary

Join IntelliPro as a Senior Manager of AI/ML Infrastructure Engineering and lead the development and scaling of cloud-native AI/ML infrastructure for both classical ML and Generative AI. This high-impact role involves driving the architecture and implementation of end-to-end model productionalization. You will collaborate with various teams to ensure a secure, scalable, and production-grade ML infrastructure. Your leadership will contribute to building a unified AI/ML platform. The position is remote but requires occasional in-person collaboration in the Bay Area, Chicago, or Boston. IntelliPro offers a competitive salary, bonus, equity, and comprehensive benefits.

Requirements

• 10+ years of experience in AI/ML infrastructure engineering, including experience with both classical ML and GenAI
• Proven track record of building and scaling ML infrastructure, MLOps, and production ML systems
• Deep expertise in cloud platforms (AWS, Azure, GCP, or Oracle), containerization (Kubernetes), and infrastructure automation
• Strong knowledge of data lakehouse architectures and data pipeline performance tuning
• Experience deploying ML models at scale with emphasis on security, observability, and lifecycle automation
• Demonstrated leadership in managing engineering teams and cross-functional technical projects
• Excellent communication and stakeholder alignment skills

Responsibilities

• Lead the design and development of scalable, secure, and resilient AI/ML infrastructure, supporting both traditional ML and GenAI use cases
• Own the architecture and execution of ML model lifecycle management: development, deployment, monitoring, and refresh
• Drive engineering excellence in MLOps, data lakehouse architecture, observability, and platform performance
• Collaborate with Security, Risk, Product, Architecture, and Engineering teams to align infrastructure with business and compliance needs
• Champion cloud-native infrastructure (e.g., Kubernetes, cloud platforms like AWS, GCP, Azure, or Oracle) and DevOps best practices
• Manage and mentor a high-performing engineering team, fostering growth and accountability
• Ensure alignment across technical and business stakeholders and balance near-term delivery with long-term platform goals

Benefits

• Competitive base salary
• Bonus
• Equity
• Comprehensive benefits package