GenAI Architect

8 months ago

Remote, United StatesStaff+

Responsibilities

Architect and design scalable, cloud-native GenAI platforms using Microsoft Azure.
Define end-to-end architectures integrating GenAI components with enterprise applications.
Design and govern API-first architectures, including REST/GraphQL APIs, service contracts, and integration patterns.
Implement security-by-design practices covering identity and access management, network security, data protection, and compliance.
Design and optimize event-driven architectures using messaging, streaming, and asynchronous processing patterns.
Lead decisions involving scalability, performance, reliability, and cost optimization.
Collaborate with engineering, data, AI, and platform teams to implement architectural designs.
Provide technical leadership, mentorship, and architectural guidance across teams.
Establish best practices, standards, and reference architectures for GenAI solutions.
Review and approve solution designs for alignment with enterprise and cloud architecture standards.

12+ years of overall experience in software engineering and solution or enterprise architecture roles.
Strong experience designing cloud-native architectures on Microsoft Azure.
Experience architecting or supporting Generative AI or AI/ML platforms.
Experience with Azure AI services, Azure OpenAI, or AI orchestration platforms.
Experience with DevOps and cloud-native deployment patterns, including CI/CD and infrastructure as code.
Proven expertise building scalable distributed systems with microservices and container-based architectures.
Deep understanding of API design and integration patterns, including security and governance.
Strong knowledge of security architecture patterns, including authentication, authorization, encryption, and compliance.
Hands-on experience designing event-driven systems using queues, topics, or streaming platforms.
Ability to translate business requirements into robust technical architectures.

Significant career development opportunities.
Small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.
Remote workplace and full-time employment.

AzureGraphQL

5,001-10,000 employees