Job Description

We are seeking an experienced AI Solutions Architect to design, implement, and optimize intelligent solutions within our Microsoft ecosystem. You will play a key role in defining the architecture, strategy, and technical direction for AI-driven initiatives, leveraging Azure AI and Data Services to deliver scalable, secure, and high-performing enterprise solutions.

Responsibilities Architecture & Delivery
  • Design end-to-end AI and microservices architectures using Azure technologies (AKS, Functions, APIM, Service Bus, Key Vault, Azure OpenAI)
  • Build agentic architectures (LLM + agents) leveraging frameworks such as LangChain, LangGraph, CrewAI, or Azure AI Agents
  • Translate proof-of-concepts (PoCs) into reusable products, SDKs, and starter repositories for internal and client-facing use
DevOps & Operations
  • Implement and manage CI/CD pipelines with Azure DevOps or GitHub Actions, ensuring code quality, automated testing, and security integration
  • Manage containerized workloads with Docker, Kubernetes, and AKS, ensuring observability via Application Insights or Prometheus
Data & AI
  • Architect and orchestrate data pipelines using Azure Data Factory (ADF) or Fabric, integrating structured, unstructured, and vectorized data sources
  • Design and maintain vector stores (Azure AI Search, Cosmos DB, pgvector) and implement RAG (Retrieval-Augmented Generation) workflows
  • Apply LLMs and Azure OpenAI for intelligent automation, semantic search, and contextual reasoning
Security & Compliance
  • Enforce best practices in identity, access, and data security using Azure AD/OIDC, RBAC, and Key Vault
  • Ensure compliance with information security and data protection standards, and promote a culture of responsible AI and governance
Discovery & Roadmapping
  • Conduct process discovery, feasibility assessments, and impact analysis to identify automation and AI opportunities
  • Define quick wins, long-term roadmaps, and integration strategies aligned with business priorities
Requirements
  • Bachelor's or Master's in Computer Science, Engineering, or related field
  • 7+ years of experience in software and cloud architecture (strong focus on Azure Cloud)
  • Strong understanding of software development lifecycle (SDLC), DevOps, and agile methodologies
  • Azure AI & Data Services: Azure OpenAI, Machine Learning, Cognitive Services, Synapse, Data Factory, Fabric
  • Workflow automation and orchestration: ServiceNow, Power Automate
  • Data platforms: Databricks, Microsoft Storages, Gen2, SQL Server
  • Microservices & Messaging: APIM, Service Bus, Kafka, event-driven architecture
  • DevOps & IaC: Terraform, Bicep, CI/CD (ADO or GitHub Actions), Docker, Kubernetes (AKS)
  • GenAI & Agentic Development: LLMs, RAG, LangChain/LangGraph/CrewAI, vector search, Azure AI Agents
  • Proficient English communication skills (written and verbal)
  • Excellent communication, leadership, and stakeholder management skills
  • Certifications in Azure, or solution architecture frameworks are a plus
Benefits
  • A stable, long-term contract with opportunities for career growth
  • Private health insurance
  • A remote-friendly culture that promotes work-life balance
  • Continuous training, mentorship, and learning programs to keep you at the forefront of the industry
  • Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
  • A flexible Paid Time Off (PTO) policy as well as paid holiday days
  • Challenging, world-class software projects for clients in the US and LatAm
  • Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

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