Field Deployment AI Engineer

Atera•New York, NY

3d•$200,000 - $250,000•Hybrid

About The Position

AI is reshaping IT management. That creates a gap between what our platform can do and what customers know how to unlock. As a Field Deployment AI Engineer, you close that gap. You'll embed with enterprise customers, own deployments end-to-end, build AI-powered workflows, and drive adoption. Strong engineering instincts. A customer face. Real outcomes.

Requirements

Strong engineering foundation in Computer Science, Software Engineering, Mathematics, Physics, or Machine Learning - via degree or equivalent experience.
Proven coding ability in Python, Java, TypeScript/JavaScript, C++, or similar. Comfortable writing and debugging production-grade code in a customer environment.
Hands-on experience building with LLMs. You know the Gen AI landscape, understand where models fail, and have shipped something real with them.
Solid grasp of ML fundamentals: evaluation, training pipelines, decomposing business problems into ML-solvable framing.
2+ years in a customer-facing technical role: implementation, professional services, or solutions engineering.
Familiarity with IT infrastructure - Windows/Mac endpoints, Active Directory, Azure AD, networking basics. Prior RMM or PSA exposure is a strong plus.
Willingness to travel up to 50% for on-site customer engagements.

Nice To Haves

Prior RMM or PSA exposure is a strong plus.

Responsibilities

Own end-to-end deployment for enterprise accounts: kickoff, architecture, configuration, integration, handoff.
Customise Atera's AI automations, RMM, and PSA modules to match each customer's environment and workflows.
Build and deploy LLM-powered workflows that solve real operational problems and reach production.
Lead technical discovery with enterprise IT stakeholders. Translate architecture, constraints, and success criteria into a concrete deployment plan.
Identify repeatable patterns and codify them into playbooks and templates so the next deployment goes faster than the last.
Act as the technical authority during customer engagements, including on-site visits. Escalation bridge between the customer, Support, and Engineering.
Feed field insights back to Product and CX. You'll be the closest person to where the product meets reality.