Job Opportunities API

Calling All Upstarters! AI SOLUTIONS ARCHITECT WANTED! We are Upstart 13. We are humble, hungry, and competent people who are radically changing the expectations and experience of outsourcing for all participants by challenging barriers that create inequality and by bringing down borders in technology for people everywhere. We’re all about delivering value and doing big things. We have become a game changer for teams around the world who look to Upstart’s services as a differentiator. Job Description We are seeking a Senior AI / Cloud Architect (Azure) located in Latin America to lead the technical vision and architecture for a strategic enterprise AI engagement built on the Microsoft Azure ecosystem. This is a senior, account-dedicated role responsible for defining and evolving the architecture of AI-enabled enterprise solutions , leveraging large language models, enterprise data, and Microsoft Azure services. The role emphasizes integrating AI capabilities into scalable cloud-native systems rather than focusing purely on model development. This engagement is scaling from a single pilot team toward a multi-team, multi-tenant platform, requiring an architect who can design solutions that are secure, scalable, observable, and reusable across the organization. The role is 70% architectural leadership and 30% hands-on technical contribution. You will partner closely with the Delivery Lead, engineering teams, and client stakeholders to define architecture, guide technical decisions, and ensure successful integration between AI capabilities and the client’s enterprise data ecosystem. Although this role has no formal people management responsibilities, it requires strong technical leadership and influence across both internal engineering teams and senior client stakeholders. As the primary architecture authority for the engagement, you will be responsible for maintaining architectural standards, decision records, and implementation guidance that enable long-term scalability while minimizing operational risk and knowledge silos. Responsibilities AI Architecture Leadership Own the end-to-end architecture of AI-enabled systems, including backend services, data pipelines, and integration with AI components. Define architectural standards, best practices, and reusable patterns across the platform. Evaluate architectural trade-offs involving scalability, cost, performance, and maintainability. Define the long-term platform strategy incorporating AI capabilities in collaboration with leadership. Evaluate emerging AI technologies and frameworks, introducing them where they add business value. Design reusable capabilities that support multi-team adoption and system scalability. Maintain architectural decision records and technical documentation. Agentic AI & Enterprise Data Design system architectures that incorporate AI capabilities such as retrieval, orchestration, and service integration. Guide the implementation of Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data. Design integrations between backend systems, APIs, data platforms, and AI services. Define practical evaluation approaches for AI-enabled features, focusing on performance, reliability, and cost. Design observability and monitoring strategies for AI-enabled applications. Architect scalable data ingestion, processing, and indexing pipelines to support AI use cases. AI Platform & Cloud Architecture Design scalable Azure-based architectures leveraging cloud-native patterns and AI services where appropriate. Collaborate with infrastructure and security teams to ensure secure and resilient deployments. Partner with stakeholders on Responsible AI, privacy, and governance considerations. Define deployment strategies across development, testing, and production environments. Guide identity and authentication strategies for enterprise systems integrations.