Cloud Architect: AI-Driven Systems & Microservices

SoTalent; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

SoTalent is seeking an experienced Enterprise Architect in Houston to define architecture principles, roadmaps, and patterns for scalable cloud-native platforms. You will drive cross-team alignment and ensure solutions meet security, scalability, and maintainability goals.

You will lead reviews, guide AI/ML integration, and drive modernization efforts toward AWS, while aligning technology with business objectives and international considerations.

Responsibilities

• Establish architectural principles, frameworks, and engineering practices across domains.
• Define multi-year roadmaps for cloud-based platforms and distributed apps.
• Review major initiatives to ensure alignment with enterprise goals.
• Establish patterns for consistency, scalability, security, maintainability, reuse.
• Guide transformation of legacy apps toward modern architectures and dev approaches.
• Assess new tech, including AI/ML, for business/engineering value.
• Develop reference architectures and reusable components for teams.
• Hands-on work on tough architectural problems, PoCs, and production issues.
• Provide technical direction on large distributed apps and integrations.
• Design systems to support geographically distributed operations and multi-entity orgs.
• Develop integration approaches for services, data platforms, and external systems.
• Guide large-scale moves from data centers to AWS cloud infrastructure.
• Promote microservices, API, messaging, and distributed-system patterns across teams.
• Incorporate AI-assisted development tools into the software lifecycle to improve delivery speed and quality.

Job description

SoTalent is seeking an experienced Enterprise Architect in Houston to define architecture principles, roadmaps, and patterns for scalable cloud-native platforms. You will drive cross-team alignment and ensure solutions meet security, scalability, and maintainability goals.

You will lead reviews, guide AI/ML integration, and drive modernization efforts toward AWS, while aligning technology with business objectives and international considerations.