AI Forward Deployed Engineer

Role Summary

This role is a senior-level position responsible for deploying, integrating, and maintaining AI solutions in various production environments. The engineer will work closely with clients and internal teams to ensure high-performance, reliable, and secure AI systems. The focus is on translating AI capabilities into scalable, resilient operational systems while troubleshooting complex issues in dynamic settings.

Responsibilities

• Lead the deployment of AI solutions across customer environments, including initial integration, production launch, and stabilization.
• Integrate AI inference systems into existing architectures, such as applications, APIs, data pipelines, and infrastructure components.
• Design and support scalable AI inference architectures optimized for performance, resiliency, and cost efficiency.
• Troubleshoot complex issues spanning models, applications, infrastructure, and data layers.
• Develop automation scripts and tools to facilitate deployment, testing, diagnostics, and operational workflows.
• Implement observability solutions, including monitoring, logging, tracing, and alerting, to ensure system health and performance.
• Perform capacity planning and performance tuning for inference workloads across various infrastructure setups.
• Support deployments in cloud, on-premises, and hybrid environments, adapting to customer constraints and requirements.
• Apply security best practices, including identity and access management, secrets management, and data protection protocols.
• Collaborate effectively with data science, engineering, and operations teams to ensure seamless deployment and operational handoffs.

Qualifications

• Proven experience deploying and operating production AI or machine learning systems.
• Demonstrated ability to troubleshoot and resolve complex system issues under pressure.
• Experience designing or supporting AI inference pipelines.
• Strong scripting and automation skills using languages such as Python, Bash, or equivalent.
• Solid understanding of observability, performance tuning, and capacity planning in distributed systems.
• Familiarity with cloud computing, on-premises, or hybrid infrastructure environments.
• Knowledge of security best practices for production systems.
• Excellent communication skills, capable of working directly with clients and cross-team collaborators.
• Willingness to work in fast-paced, ambiguous environments.

Publishing Pay Range: $70.00 – $80.00 USD Hourly

This is a fully remote role and can be performed from an approved location.