[Hiring] Senior Director - AI Engineering @Granicus

Role Description

Granicus is looking for an engineering leader to drive internal AI transformation across the company. This leader will own the strategy, buildout, and adoption of a secure, scalable internal AI platform that enables employees across functions to safely use and create AI-powered workflows and agents embedded in core business processes. Reporting to the Head of Corporate Strategy & Transformation, this role will work cross-functionally with Engineering, Security, IT, Legal, RevOps, and functional business leaders, and partner closely with the Embedded Process Consulting team to translate AI capabilities into redesigned business processes and measurable operational outcomes. The successful candidate will combine strong technical depth, platform and systems thinking, and pragmatic change leadership to deliver measurable productivity gains, streamline operations, and help Granicus build a durable competitive advantage through internal AI.

What Your Impact Will Look Like

• Lead the strategy, architecture, and execution of Granicus’ internal AI transformation agenda in close partnership with the embedded process consulting team, ensuring alignment between platform capabilities and business process transformation priorities.
• Build and scale a centralized AI platform that enables employees to safely create, deploy, and use AI-powered workflows, copilots, and agents, in partnership with embedded consulting teams driving adoption within business processes.
• Drive integration of AI capabilities into enterprise systems and systems of record, including CRM, support, knowledge, analytics, and business operations platforms.
• Establish the technical and operating model for internal AI, including platform standards, governance, security controls, access models, observability, and lifecycle management.
• Partner with Security, Legal, Compliance, IT, and Engineering to ensure AI systems are deployed with appropriate guardrails, auditability, and enterprise-grade controls.
• Identify and prioritize high-impact internal use cases that reduce manual work, improve cycle times, enhance decision-making, and increase employee productivity.
• Define and implement standards for model access, prompt management, agent orchestration, human-in-the-loop workflows, and usage monitoring.
• Build and lead a high-performing team of engineers focused on internal AI platforms, enablement, and transformation initiatives.
• Create enablement programs, playbooks, and adoption mechanisms in collaboration with the embedded process consulting team that allow both technical and non-technical teams to effectively and responsibly use AI capabilities.
• Measure + communicate impact to executives through clear KPIs such as adoption, efficiency gains, cycle-time reduction, and reduction of redundant workflows.
• Serve as a strategic partner to executive leadership on company-wide transformation initiatives related to AI, automation, and operational scale.

Qualifications

• 10+ years of relevant experience in software engineering.
• 5+ years of experience leading engineering or platform teams, with a track record of building and scaling high-performing organizations.
• Experience building internal platforms, developer platforms, workflow systems, or enterprise applications used by technical and non-technical users.
• Strong technical understanding of modern AI systems, including large language models, retrieval-based systems, agent workflows, orchestration patterns, and AI platform architecture.
• Demonstrated success designing and operating secure, scalable, production-grade systems with strong governance and observability requirements.
• Experience integrating software platforms with enterprise systems and systems of record such as CRM, support, HR, ERP, identity, and data platforms.
• Strong cross-functional leadership skills.
• Experience establishing standards, processes, and controls for responsible technology adoption in enterprise environments.
• Executive presence and strong communication skills, including the ability to communicate technical concepts and business value clearly to senior leadership.
• Familiarity with security, privacy, and governance considerations related to AI systems strongly preferred.
• Comfortable operating as a builder-leader who can move between strategy, architecture, team leadership, and hands-on problem solving.

Requirements

• Pay Range: USD $169,000.00 - USD $229,000.00 /Yr.

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.