[Hiring] AI Architect @Workana

Role Description

We are looking for an experienced AI Architect to design and guide the implementation of enterprise AI applications on Microsoft Azure, combining strong software engineering expertise with AI application architecture. This is a fully remote opportunity for professionals based in Latin America, working closely with an international team in an English-speaking environment.

As an AI Architect, you will:

• Lead the architectural design and implementation strategy for enterprise-grade AI solutions hosted on Microsoft Azure.
• Blend full-stack and backend software engineering expertise with cloud architecture to build scalable, secure systems powered by LLMs, Retrieval-Augmented Generation (RAG), and autonomous AI agents.
• Serve as a key technical leader, working collaboratively with software engineers, data scientists, and business stakeholders.
• Translate complex requirements into resilient architectures, establish standards, and guide technical decision-making across distributed teams.

Qualifications

• Strong software engineering background with proven experience building full-stack and backend systems in C#, Python, and React with TypeScript.
• Hands-on experience designing and implementing cloud-native solutions on Microsoft Azure, including AKS, Azure Networking, and Azure AI Foundry.
• Practical experience working with AI application frameworks such as LangChain, Semantic Kernel, or comparable tools.
• Solid architectural understanding of Retrieval-Augmented Generation (RAG), AI agent design, and workflow orchestration.
• Strong knowledge of REST APIs, microservices architectures, containerization, and CI/CD pipelines.
• Proven ability to design secure, scalable, maintainable, and high-performance distributed systems.
• Advanced analytical, problem-solving, and architectural decision-making skills.
• Fluent English is mandatory (C1 level), with the ability to lead technical discussions, collaborate with international stakeholders, and produce clear architectural documentation.
• Must be based in Latin America.

Requirements

• Design end-to-end AI application architectures using Azure Kubernetes Service (AKS), Azure Container Apps, Blob Storage, Azure Networking, and Azure AI Foundry.
• Architect secure enterprise applications incorporating LLMs, Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration.
• Design backend and full-stack solutions leveraging Python, C#, React, TypeScript, FastAPI, LangChain, and Semantic Kernel.
• Define cloud-native deployment architectures utilizing containers, microservices, REST APIs, and automated CI/CD pipelines.
• Apply security-by-design principles, identity and access management, and secure networking practices to safeguard enterprise workloads.
• Evaluate architectural trade-offs to optimize cloud infrastructure, AI inference workloads, application performance, and operational costs.
• Establish architectural standards, evaluate emerging AI technologies, and mentor cross-functional engineering teams through technical decisions.
• Collaborate closely with engineers, data scientists, and cross-functional stakeholders in an international remote environment.

Benefits

• Compensation in USD
• Fully remote work within Latin America with flexible time schedules
• Career growth with international clients and dynamic projects
• This is a long-term independent contractor agreement with no additional benefits such as paid time off, health insurance, etc.