Principal AI Engineer, Applications

Granicus•Remote,

1d•$165,000 - $205,000•Remote

About The Position

The Principal AI Engineer, Applications is responsible for transforming Granicus’ AI data and agent capabilities into secure, scalable, and production-grade applications and workflows that materially improve how the company operates. The role owns the architecture and hands-on development of user-facing AI applications, including guided workflow experiences, application services, enterprise integrations, identity and authorization, telemetry, deployment, reliability, and observability. This role partners closely with the Principal AI Engineer, Platform, who owns the lakehouse, canonical metric layer, agent-callable data services, reusable agents, and agent evaluation architecture. The role also partners with the Director of AI Transformation & Strategic Operations to translate redesigned business processes into applications that drive measurable improvements in productivity, throughput, quality, revenue growth, and operating leverage.

Requirements

7+ years of software engineering experience, including ownership of production applications
Experience architecting and building full-stack applications, backend services, and APIs
Experience integrating applications with enterprise systems of record
Experience implementing enterprise identity and authorization
Demonstrated ability to set technical direction and operate engineering work end-to-end as a senior individual contributor
Hands-on familiarity with LLMs, agents, or retrieval systems through production work, prototypes, or internal tools
Track record of translating ambiguous business problems into usable technical solutions
Bachelor’s degree in Computer Science, Engineering, or a related technical field

Nice To Haves

Hands-on experience shipping LLM-powered applications, agents, or RAG systems in production environments at scale
Experience with multi-agent systems, orchestration frameworks, and AI evaluation methodologies
Experience integrating AI models, agents, or retrieval systems into production applications
Experience operating in regulated or compliance-sensitive environments (e.g., FedRAMP, SOC 2)
Master's degree or graduate research experience in computer science, machine learning, or a related discipline

Responsibilities

Architect, build, deploy, and operate full-stack internal AI applications that incorporate agents, trusted business data, workflow automation, and human decision-making
Convert AI prototypes and agent capabilities into durable, repeatable workflows that can be adopted across business teams. Partner with the AI Transformation & Strategic Operations team to translate process maps, user needs, business rules, and operating constraints into applications.
Partner closely with the Principal AI Engineer, Platform to integrate applications with Granicus’ lakehouse, canonical metric layer, trusted data services, reusable agents, and evaluation systems. Co-design end-to-end system architecture while maintaining clear ownership boundaries between the data and agent platform and the app layer.
Own the implementation of application-level authentication and authorization. Partner with Security, Legal, Business Systems, and Engineering to translate policies and risk requirements into enforceable application controls.
Own application and workflow integrations with enterprise systems and systems of record.
Instrument applications to measure adoption, engagement, workflow completion, cycle time, and other operational indicators. Partner with the AI Transformation & Strategic Operations team to connect product telemetry to business outcomes.
Establish reusable application patterns, templates, components, APIs, and development practices that allow Granicus to deliver internal AI applications more quickly and consistently.