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Blanc Labs

AI Architect – Agentic Systems

Blanc Labs

AI Architect designing and delivering production-grade agentic systems on Azure at Blanc Labs. Leading AI innovation and engineering in enterprise environments across the Americas.

Posted 7/23/2026contractRemote • 🇨🇴 ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering scalable agentic AI systems on Azure, with a strong focus on REST API design, orchestration using LangChain, and integration of emerging frameworks. Proven ability to lead projects from MVP to production, ensuring performance, reliability, and security in live environments.

Highest-signal resume keywords
Azure AI FoundryLangChain OrchestrationREST API DesignScalable Azure InfrastructureIncident Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Agentic AI SystemsVector SearchTool-Calling ArchitecturesJSON Schema DefinitionEvent-Based ArchitectureRefactoringPerformance OptimizationReliability EngineeringObservabilitySecurity Hardening
Soft Skills
Collaborative DesignCross-Functional TeamworkContinuous Improvement
Tools & Technologies
Azure OpenAI ServiceLangSmithVisioFigmaMuralMiroGitHubJiraServiceNow
Industry Keywords
Production AI SystemsMVP to ProductizationDevOpsSREMulti-Program Environments

Tech Stack

Tools & technologies
AzureITSMServiceNow

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

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