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AI Solutions Architect
Salario negociable
Indeed
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Sin requisito de experiencia
Sin requisito de título
79Q22222+22
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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.

Fuentea:  indeed Ver publicación original
María García
Indeed · HR

Compañía

Indeed
María García
Indeed · HR
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