Senior Cloud & AI Solutions Architect (Hybrid)

Boeing Co.

United States

Hybrid

USD 88,000 - 157,000

Full time

8 days ago

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Benefits offered by this job

Hybrid work model

Job summary

Boeing Vancouver is seeking a Senior Solution Architect to lead modernizing a large portfolio of legacy apps and to architect cloud-native, AI-enhanced solutions for aerospace customers. You will guide end-to-end technology roadmaps, drive cross-team collaboration, and mentor developers to deliver scalable, secure software in a global, multi-platform context.

Ideal candidates bring 10+ years in software, 5+ years with microservices and cloud-native patterns, and strong communication skills to

Qualifications

10+ years in software development lifecycle and design patterns.
5+ years modernizing legacy tech and refactoring (DDD, event storming, strangler pattern).
5+ years distributed cloud-native API and microservices architecture.
5+ years building and operating microservice, containerized, or serverless apps.
Experience with performance monitoring, diagnostics, and issue resolution.
Experience with CI/CD, UML, Java/.NET, Docker, Kubernetes, and AWS/Azure.
Experience delivering HA/resilient solutions meeting security standards.
Familiarity with AI frameworks/tools (AWS Q, GitHub CoPilot, Claude CODE).

Responsibilities

Partner with senior business and technology leaders to understand the business needs that drive technology decisions.
Create and execute technology roadmaps, owning the technical scope of your area end to end — shaping architecture, driving implementation, and planning delivery with your team.
Modernize legacy applications, and architect greenfield applications — frontend, backend, APIs, and the integrations that connect them across complex enterprise environments.
Select strategies, patterns, and practices for modernizing and refactoring legacy applications, and enable product teams to adopt them while continuing development and maintenance on existing applications.
Design applications and microservice architectures to be adaptable, cost-optimized, cloud-native SaaS technologies in a globally distributed, multi-platform environment, able to scale and be operated by teams beyond the ones that built them.
Write and review code across multiple languages and paradigms, integrate AI, ML, or LLM capabilities into solutions, and implement CI/CD pipelines and delivery automation that give teams confidence to ship frequently.
Make day-to-day technology and architecture decisions that drive innovation and agility while minimizing risk and cost, identifying technical risk early and escalating decisions with broader implications to leadership.
Own the Architectural Standards and Practices and the architectural artifacts and technical documentation that communicate technology adoption and decisions, while allowing differentiation specific to our business division goals.
Serve as a technical lead for a small team of developers — coaching, pairing, and uplifting them through code review and mentorship, driving adoption of AI-assisted development methods, and acting as the technical point of contact for your area.
Assist in evaluating products for being well-architected and well-managed, and work closely with the Information Security Office and Enterprise Cloud to ensure security and regulatory compliance requirements are met.