Cloud Engineer - AI

About The Company Buildertrend is a leading provider of residential construction management software, dedicated to empowering builders and remodelers to streamline their operations and grow their businesses. With nearly two decades of industry experience, Buildertrend offers a comprehensive platform that integrates project management, financials, scheduling, and customer relationship management into a single, user-friendly system. The company’s mission is to help construction professionals work smarter, scale faster, and stay competitive by leveraging innovative technology solutions. Buildertrend’s commitment to excellence and customer success has positioned it as a trusted partner within the construction industry, continuously evolving to meet the changing needs of its users.

About The Role As a Principal Cloud Engineer specializing in AI Platform at Buildertrend, you will be instrumental in shaping the cloud infrastructure that supports AI-driven workflows. Your primary focus will be designing, implementing, and maintaining scalable, secure, and reliable cloud infrastructure that enables AI agents to seamlessly support real customer processes. You will own critical platform architecture decisions, establish standards for independent engineering team operations, and guide the technical strategy for scaling AI capabilities across the organization. Your expertise will ensure that the AI infrastructure is robust, cost-effective, and compliant with security best practices, facilitating innovation while safeguarding data and resources. This role offers a unique opportunity to influence how AI transforms the construction industry by building the foundational systems that make AI deployment secure, efficient, and sustainable.

Qualifications

• 10+ years of experience architecting enterprise-grade Google Cloud Platform (GCP) environments
• Deep knowledge of GCP-native networking, including VPC Service Controls, Private Service Connect, IAM perimeters, and Workload Identity
• Previous experience working at a B2B SaaS company
• Strong expertise in infrastructure as code, particularly with Terraform
• Hands-on experience managing AI or ML workloads in production environments, including model serving and inference gateways
• In-depth understanding of workload identity, machine-to-machine authorization, service accounts, short-lived credentials, and token delegation
• Proven track record in managing production incidents, deploying under pressure, and communicating effectively with technical and executive teams
• Experience with agent development frameworks, runtime platforms, and emerging AI tooling
• Knowledge of automated secrets rotation, policy-as-code, and governance practices to prevent unauthorized AI deployments
• Strong problem-solving skills, critical thinking, and ownership mindset

Responsibilities

• Design, develop, and maintain the infrastructure supporting production AI agents, including workload identity, network gateways, and data redaction mechanisms
• Lead strategic decisions on GCP networking, private connectivity, zero-trust egress, and service perimeters to secure workloads while supporting growth
• Create reusable Terraform modules and CI/CD pipelines to enable safe, independent deployment by product teams, including validation environments
• Establish a centralized framework for large language model (LLM) access, encompassing routing, provider onboarding, observability, and cost management
• Document platform architecture, vendor decisions, total cost of ownership, trade-offs, and open issues to ensure transparency and consistency
• Act as a technical liaison with cloud and AI providers, validating roadmap commitments and escalating complex issues as needed
• Lead incident response efforts, making informed decisions during outages and communicating risks to stakeholders
• Implement security safeguards for credentials, secrets, and AI usage, including automated rotation and policy enforcement
• Conduct blameless postmortems, identify systemic weaknesses, and drive continuous improvements in platform security, resilience, and operational readiness
• Leverage AI tools to enhance work processes, maintain a learning mindset, and ensure high-quality deliverables

Benefits

• Comprehensive health insurance packages including medical, dental, and vision coverage
• Life insurance and short- and long-term disability benefits
• 401(k) retirement plan with company matching contribu…