Senior AI/ML Architect / Engineer

Requirements

• Architect, build, and maintain secure, scalable, and modular AI/ML platform infrastructure.
• Evaluate, integrate, and operationalize modern AI agent frameworks.
• Develop and enforce policies and technical controls for responsible AI, including input/output filtering, agent guardrails, and human-in-the-loop workflows.
• Design and manage the full AI/ML lifecycle, including model registration, versioning, deployment orchestration, monitoring, and rollback capabilities.
• Enable developer self-service by implementing portals and API catalogs, standardizing API documentation, and overseeing API governance and lifecycle.
• Deploy and operate observability stacks for real-time monitoring, alerting, and root cause analysis of all AI/ML systems.
• Design, implement, and maintain foundational services, including vector databases, distributed caching, and feature stores for enterprise-wide AI/ML usage.
• Collaborate with data, security, and DevOps teams to ensure integration, compliance, and continuous improvement.

Benefits

• 401k Matching
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance