AI Solutions Architect

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.
• 5+ years of experience in software and cloud architecture (strong focus on Azure Cloud).
• Azure AI & Data Services: Azure OpenAI, Machine Learning, Cognitive Services, Synapse, Data Factory, Fabric.
• 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.
• Security: AAD/OIDC, RBAC, Key Vault, SAST/DAST, data protection best practices
• Proficiency in Python with a strong understanding of data structures, concurrency, and REST API development and deployments on Serverless environments on Microsoft Azure.
• Proficient English communication skills (written and verbal).

Benefits

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:

• 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.