Principal AI Engineer, Applications

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, implement, and maintain comprehensive internal AI applications that integrate agents, reliable business data, automated workflows, and human decision-making.

• Transform AI prototypes and agent functionalities into sustainable, repeatable workflows that are embraced by business teams.

• Convert process diagrams, user requirements, business guidelines, and operational limitations into functional applications.

• Connect applications with the lakehouse, canonical metric layer, trusted data services, reusable agents, and evaluation frameworks.

• Manage authentication and authorization at the application level, and establish robust application security measures.

• Oversee application and workflow integrations with enterprise systems and records management systems.

• Implement instrumentation in applications to track usage, engagement, workflow completion rates, cycle times, and other operational metrics.

• Link product telemetry to business results.

• Create reusable application frameworks, templates, components, APIs, and development methodologies.

• Safeguard the confidentiality, integrity, and availability of Granicus information assets while ensuring compliance with data privacy regulations.

⛳️ Requirements

• Minimum of 7 years of experience in software engineering, with a focus on managing production applications.

• Proven experience in designing and building full-stack applications, backend services, and APIs.

• Familiarity with integrating applications into enterprise systems of record.

• Expertise in enterprise identity management and authorization implementation.

• Capability to establish technical direction and manage engineering tasks from start to finish as a senior individual contributor.

• Practical experience with LLMs, agents, or retrieval systems via production projects, prototypes, or internal tools.

• Demonstrated success in converting vague business challenges into effective technical solutions.

• Bachelor’s degree in Computer Science, Engineering, or a related technical area.

• Preferred: hands-on experience in deploying LLM-driven applications, agents, or RAG systems in large-scale production settings.

• Preferred: familiarity with multi-agent systems, orchestration frameworks, and AI evaluation techniques.

• Preferred: experience in integrating AI models, agents, or retrieval systems into operational applications.

• Preferred: experience working in regulated or compliance-focused environments such as FedRAMP or SOC 2.

• Preferred: Master’s degree or advanced research experience in computer science, machine learning, or a related field.

• Responsible for upholding information security, data privacy, and complying with mandatory privacy training as per company guidelines.

🏝️ Benefits

• Flexible Time Off

• Company-Wide Wellbeing Days

• Work From Home Reimbursement

• Multiple Health Plan Options, including a 100% employer-paid plan

• Employer HSA Contributions when enrolled in a High-Deductible Health Plan

• Fitness Reimbursement Program

• On-Demand Mental Health Support, including 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 with 100% employer-paid coverage

• Online Learning Platforms

• Competitive Salary & Bonuses

• Employee Resource Groups

• Coffee with Mark sessions

• Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more