AI Platform Engineer - Enterprise Automation & Reliability

ADP, Inc.; Charlotte (NC); Hybrid; USD 170,000 - 200,000; Full time

Job summary

Quarterra is seeking a Senior AI Platform Engineer to build, deploy, secure, monitor, and maintain Quarterra's enterprise AI and automation environments. This senior individual contributor owns production systems end to end and is accountable for platform reliability, quality, security, and operational performance.

The role advances Quarterra's Agentic Workspace and Unified Data Strategy by engineering AI agents, enterprise automations, integrations, and the business context layer that grounds

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field preferred; equivalent relevant experience will be considered.
• Seven (7) or more years of experience building and operating production software or automation systems, including at least three (3) years of direct accountability for diagnosing and fully resolving production failures.
• Professional-level coding proficiency in Python or an equivalent language used regularly to create tested, peer-reviewed, version-controlled, and deployable code.
• Demonstrated end-to-end ownership of a live system, including source control, automated build and release, environment promotion, rollback, monitoring, and incident response.
• Hands-on integration engineering experience with REST APIs, MCPs, webhooks, authentication, rate limits, retry logic, and direct troubleshooting of integration traffic.
• Applied experience with large language models, including retrieval-augmented generation, tool and function calling, orchestration frameworks, prompt and context engineering, and structured outputs.
• Experience building or operating systematic evaluation processes for non-deterministic systems, including measuring quality and addressing regression.
• Working knowledge of cloud and identity fundamentals, including role-based access management and traceability controls; Microsoft Azure experience strongly preferred.
• Experience serving as the internal technical owner of a third-party platform, including upgrade cycles, vendor escalation, and acceptance testing.
• Strong written and verbal communication skills, with the ability to train users and explain technical concepts to varied audiences.

Responsibilities

• Agent Engineering and Orchestration: Design, build, test, deploy, and maintain AI agents end to end, including retrieval design, context assembly, tool and function definitions, orchestration logic, and structured handoffs when human judgment is required.
• Agentic Workspace and Enterprise Automation: Automate high-volume, rules-based processes such as document intake and extraction, routing, approvals, and data reconciliation using code and APIs.
• Platform and Integration Ownership: Serve as Quarterra’s accountable technical owner for AI and automation platforms, including environments, configuration, releases, upgrades, regression testing, and production support.
• Reliability, Security, and Operations: Establish and own service-level KPIs for production automations and AI agents, build monitoring, and lead response and remediation.
• Cross-Functional Partnership and Continuous Improvement: Translate operational needs into scalable AI/automation solutions and communicate technical concepts clearly.

Skills

Python

REST APIs

Cloud concepts

Education

Bachelor's degree in Computer Science or related field

Tools

Microsoft Azure

Microsoft 365 Copilot

Job description

Quarterra is seeking a Senior AI Platform Engineer to build, deploy, secure, monitor, and maintain Quarterra's enterprise AI and automation environments. This senior individual contributor owns production systems end to end and is accountable for platform reliability, quality, security, and operational performance.

The role advances Quarterra's Agentic Workspace and Unified Data Strategy by engineering AI agents, enterprise automations, integrations, and the business context layer that grounds