AI Architect – Agentic Systems

Vaga não está no LinkedIn

🕒 Julho 23

🇨🇴 Colômbia – Remoto

⏳ Contrato/Temporário

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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Blanc Labs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

💸 Finanças

💰 Venture Round em 2016-12

Consulting • Healthcare • Finance

A Blanc Labs é uma empresa de consultoria em tecnologia de serviço completo, focada em ajudar os clientes a realizarem seu potencial máximo por meio do uso criativo da tecnologia. Eles são especializados em transformação digital, estratégia e implementação de tecnologia, gerenciamento de APIs, IA, análise e automação. Seus serviços incluem integração de sistemas e melhoria de processos de negócios, especialmente nos setores de serviços financeiros e saúde. A Blanc Labs faz parcerias com líderes do setor para possibilitar experiências inovadoras aos clientes e alcançar resultados empresariais mensuráveis, com forte presença no mercado canadense.

Descrição

• Design and deliver production-grade agentic AI systems on Azure AI Foundry, ensuring solutions go well beyond PoC and into scalable, enterprise-ready platforms. • Architect end-to-end pipelines leveraging Azure OpenAI, vector search, tool-calling patterns, and LangChain / Semantic Kernel for orchestration. • Define and enforce REST API design standards, JSON schema definitions, and event/message-based integration patterns across AI workloads. • Lead the evolution of solutions from MVP to productized platforms, including refactoring, hardening, and meeting non-functional requirements around performance, reliability, observability, and security. • Deploy and oversee scalable Azure infrastructure (AKS, App Service, Functions, or equivalent), collaborating with DevOps/SRE teams to define runbooks, SLIs/SLOs, and monitoring frameworks. • Evaluate and integrate emerging agent frameworks and patterns (MCP, A2A) to continuously modernize platform capabilities. • Use LangSmith or equivalent tooling to implement tracing, evaluation, and quality assurance across agentic pipelines. • Document architectures, sequence diagrams, and interaction flows using Visio, Figma, or similar tools; facilitate collaborative design sessions using Mural/Miro with distributed teams. • Partner with cross-functional and multi-program teams to ensure platform components are reused and versioned effectively across products. • Support incident management and post-mortems, contributing to a culture of continuous improvement in live production contexts.

🎯 Requisitos

• At least one end-to-end production AI or agentic system delivered on Azure, not just experimentation. • Deep understanding of Azure AI Foundry, Azure OpenAI Service, vector search, and tool-calling–based architectures. • Hands-on experience with LangChain and/or Semantic Kernel for orchestration, and LangSmith or equivalent for tracing and evaluation. • Familiarity with emerging agent frameworks and patterns (MCP, A2A), with demonstrated experimentation in real workflows. • Strong foundation in REST API design and integration, JSON schema definition, and event/message-based architecture patterns. • Proven track record taking solutions from MVP to productized platform, with experience in refactoring, hardening, and addressing non-functional requirements. • Hands-on deployment experience with scalable Azure environments: AKS, App Service, Azure Functions, or equivalent services. • Experience collaborating with DevOps/SRE/Operations teams to define runbooks, SLIs/SLOs, logging, and monitoring for production systems. • Familiarity with incident management and post-mortems in live production environments. • Daily working proficiency with GitHub (repositories, PRs, GitHub Actions) and Jira (backlog management, boards, epics). • Exposure to ServiceNow for change and incident management, including working with Change/ITSM processes. • Ability to document complex architectures, sequence diagrams, and interaction flows using Visio, Figma, or similar tools. • Comfortable driving collaborative design sessions using Mural, Miro, or whiteboard tools with distributed, multi-timezone teams. • Experience operating within multi-program environments where shared platform components are reused and versioned across multiple teams and products.

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development