Field Deployment AI Engineer

Description About Atera Atera builds IT management software powered by Action AI - autonomous technology that manages and optimises IT environments. RMM, helpdesk, ticketing, and automation in one platform. Trusted by 13,000+ customers in 120+ countries. We're building the future of autonomous IT. About the role 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. What you'll be responsible for 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. Requirements What you'll need to succeed 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. What we offer The on-target earnings (OTE) for this role is $200,000–$250,000, with base salary and variable compensation structured to reflect the seniority and customer impact we expect from this hire. Beyond comp, we offer stock options, comprehensive health insurance (including dental and vision), generous PTO, and an annual learning & growth budget. The role is hybrid — three days a week at One Penn Plaza, remote the rest. Atera is committed to building a workforce that reflects the diversity of the world we operate in. Our hiring process is merit-based, and we welcome candidates of all backgrounds regardless of race, color, religion, gender, sexual orientation, national origin, age, marital status, veteran status, or disability status.