Principal Solutions Architect, Professional Services

Responsibilities

Build and Scale the Professional Services Practice

• Develop repeatable reference architecture patterns for self-hosted and air-gapped deployments, MCP and AI-agent environments, identity-provider integrations, and secure software supply chain workflows.
• Create customer-facing technical collateral, statements-of-work templates, and delivery patterns.
• Collaborate with product, marketing, revenue, and partner teams to integrate services into go-to-market motions and align delivery with the AI platform roadmap.
• Identify offerings that drive product expansion, renewals, and long-term customer value.
• Select, onboard, and enable technical integration partners, system integrators, and service delivery partners.

Drive Strategic Customer Outcomes

• Advise enterprise customers on containerization, AI workflows, and secure software supply chains.
• Lead technical discovery and architecture engagements across enterprise integration layers.
• Architect and deliver self-hosted Docker deployments in air-gapped, regulated, and complex enterprise environments, including local image registries, offline toolchains, and compliance-driven infrastructure.
• Design and guide implementation of agentic AI toolchains, including MCP server/client architectures, tool orchestration, observability integration, and secure deployment patterns.
• Lead thought leadership and influence long-term technology adoption and investment decisions.
• Deliver or oversee partner-led service engagements and ensure technical objectives are met.

Enable Cross-Functional Success

• Drive alignment across stakeholders and teams without direct reporting authority.
• Translate enterprise integration, identity, observability, and AI deployment insights into product, services, roadmap, and partner strategy.

Requirements

• 7+ years of experience as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
• Experience architecting and deploying self-hosted and air-gapped architectures, including local image registries, offline toolchains, network-isolated Kubernetes clusters, and regulated infrastructure.
• Enterprise integration experience with identity providers such as Okta, Azure AD, and LDAP/Active Directory, plus OIDC, SAML, SSO, and RBAC in complex, multi-tenant environments.
• Working knowledge of Model Context Protocol (MCP), including server/client architecture, tool and resource orchestration, and secure containerized deployment.
• Hands-on experience with AI/ML workflows, LLM deployment, and enterprise agentic AI architectures.
• Deep understanding of container and software supply chain security, including Docker Hardened Images, Secure Supply Chain, SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
• Excellent facilitation and stakeholder-management skills, including executive-level architecture discussions and influence without formal authority.
• Experience delivering services engagements that achieve customer value and revenue or ARR growth targets.
• Recognition by enterprise customers as a strategic technical advisor.

Nice-to-Haves

• Experience architecting enterprise AI platforms, including LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chains.
• Experience enabling system integrators, consultancies, or partner ecosystems.
• Consulting experience with Fortune 500 clients in financial services, healthcare, government, or other regulated sectors.
• Experience leading AI security architecture engagements involving model provenance, artifact signing, secure MCP deployment, access controls, secrets management, and runtime isolation.

Compensation

• Canada: CA$238,000–CA$340,000 plus equity.
• United States: $171,500–$245,000 plus equity.