Principal AI Engineer, Applications

Role Description

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.

What Your Impact Will Look Like

• AI Application Architecture & Engineering: Architect, build, deploy, and operate full-stack internal AI applications that incorporate agents, trusted business data, workflow automation, and human decision-making.
• Workflow Productization: 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.
• AI Data & Agent Platform Partnership: 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.
• Identity, Authorization, & Application Security: 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.
• Enterprise Systems Integration: Own application and workflow integrations with enterprise systems and systems of record.
• Adoption, Telemetry, & Value Measurement: 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.
• Engineering Standards & Reuse: Establish reusable application patterns, templates, components, APIs, and development practices that allow Granicus to deliver internal AI applications more quickly and consistently.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Flexible Time Off – Take the time you need to rest, recharge, and live your life.
• Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health.
• Work From Home Reimbursement – Support a productive home office environment.
• Multiple Health Plan Options – Including a 100% employer-paid plan.
• Employer HSA Contributions – When enrolled in a High-Deductible Health Plan.
• Fitness Reimbursement Program – Stay active, your way.
• On-Demand Mental Health Support – Access to Headspace and other wellness tools.
• Paid Parental Leave – For both birthing and non-birthing parents.
• Traditional & Roth 401(k) – With a generous company match.
• Life & AD&D Insurance – 100% employer-paid coverage for peace of mind.
• Online Learning Platforms – Fuel your professional development.
• Competitive Salary & Bonuses – Your contributions are valued and rewarded.