# Principal Solutions Architect, Professional Services

**Company:** [Docker](https://hotfix.jobs/companies/docker)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** CA$238k – CA$340k/yr
**Experience:** 7+ years
**Skills:** Docker, Kubernetes, Mcp, AI Agents, Llm Deployment, Okta, Azure Ad, Ldap, OIDC, SAML, RBAC, Sbom, Image Signing, Vulnerability Management, Observability
**Posted:** 2026-09-10

> Leads enterprise professional services architecture for self-hosted, air-gapped Docker deployments and agentic AI toolchains. Requires 7+ years in solution architecture or technical consulting, deep container security and enterprise identity expertise, and the ability to advise senior customers and scale partner-led delivery.

## Job Description

## 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.

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