Principal Solution Architect, Professional Services at Docker

Docker, trusted by over 20 million monthly users and 20 billion container image pulls, is a globally distributed, remote-first team building tools that define how software gets built and delivered. As AI agents redefine software development, Docker provides sandboxed environments, verified images, and secure infrastructure to make autonomous workflows trustworthy by default.

Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you will play a critical role in building and scaling this function.

This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.

Responsibilities

Build and Scale the Professional Services Practice

• Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (Model Context Protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners.

• Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency.

• Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap.

• Identify offerings that drive product expansion, renewals, and long-term customer value.

• Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners.

Drive Strategic Customer Outcomes

• Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.

• Lead technical discovery and architecture engagements that span enterprise integration layers.

• Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design.

• Design and guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration, and secure deployment patterns aligned to Docker's AI platform.

• Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions.

• Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met.

Enable Cross-Functional Success

• Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines.

• Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities.

Qualifications

Required

• 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.

• Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries.

• Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments.

• Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns.

• Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security.

• Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.

• Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority.

• Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization.

• Recognition by enterprise customers as a strategic technical advisor.

Bonus

• Experience architecting AI platforms in large enterprise environments, including LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.

• Background enabling system integrators, consultancies, or partner ecosystems.

• Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government.

• Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications.

What to Expect

First 30 Days

• Onboard to Docker's mission, values, and operating model.

• Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers.

• Build strong partnerships with Product, Engineering, and Sales functions.

• Plug into the team's rhythm of business (standups, reviews, shadow customer engagements).

First 90 Days

• Scope, define SOWs, delivery, and oversight of customer service engagements.

• Participate in the creation of reference architectures for key use cases.

• Participate in initiatives to build out and improve the services department's offerings.

One-Year Outlook

• Successful delivery and oversight of customer service engagements.

• Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices.

• Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.