Principal Solutions Architect, Professional Services – West Coast Preferred

Stellenbeschreibung:

Develop and codify repeatable reference architecture patterns for self-hosted and air-gapped deployments, MCP/AI agent environments, IDP integrations, and secure supply chain workflows
Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns
Collaborate with product, marketing, and revenue teams to integrate services into go-to-market motions and align delivery with 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, and service delivery partners
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
Design and guide implementation of agentic AI toolchains, including MCP architecture, orchestration, observability integration, and secure deployment patterns
Position Docker as a strategic thought leadership partner
Deliver or oversee partner delivery of service engagements and ensure technical objectives are met
Drive cross-functional alignment and decision-making across stakeholders
Translate field insights into product, services, roadmap, and partner capabilities
Scope, define SOWs, deliver, and oversee customer service engagements
Provide field feedback to institutionalize continuous improvement

Requirements

7+ years 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 deployment architectures
Experience with local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints
Enterprise integration experience with Identity Providers including Okta, Azure AD, and LDAP/Active Directory
Experience with OIDC, SAML, and SSO
RBAC design within complex, multi-tenant enterprise environments
Working knowledge of Model Context Protocol (MCP), including 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
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, including Docker Hardened Images, Secure Supply Chain, SBOM generation, image signing and attestation, vulnerability management, and runtime governance
Excellent facilitation and stakeholder management skills
Experience leading executive-level architecture conversations and influencing senior stakeholders without formal authority
Direct experience delivering high-quality services engagements while meeting revenue and ARR growth targets
Recognition by enterprise customers as a strategic technical advisor
Docker does not offer visa sponsorship for this role
Bonus: AI platform architecture, system integrator or consultancy enablement, Fortune 500 consulting in regulated sectors, and AI security architecture engagements

Core Competencies

Demonstrates expertise in architecting and deploying self-hosted and air-gapped deployment architectures, with a strong focus on containerization, AI workflows, and secure software supply chains. Proven ability to lead technical engagements, influence stakeholders, and deliver high-quality service engagements that drive customer value and revenue growth.