AI Architect – Agentic Systems

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    "datePosted": "2026-05-27",
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    "description": "<p><span style=\"color: rgba(0, 0, 0, 0.9)\">Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.</span></p>\n<p><br></p>\n<p>Are you ready to architect the future of AI? Blanc Labs is looking for a visionary AI Architect to lead the design and delivery of production-grade agentic systems on Azure. This is not a proof-of-concept role, you will own the architecture of real, scalable AI platforms that power our enterprise clients across North and South America. You will bridge cutting-edge AI innovation with the rigor of production engineering, shaping how organizations think about and deploy intelligent automation. This is a career-defining opportunity to work at the frontier of AI, where your decisions will directly drive client transformation, business outcomes, and the next generation of digital products.</p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What You'll Be Doing</span></p>\n<p><br></p>\n<ul>\n<li>Design and deliver production-grade agentic AI systems on Azure AI Foundry, ensuring solutions go well beyond PoC and into scalable, enterprise-ready platforms.</li>\n<li>Architect end-to-end pipelines leveraging Azure OpenAI, vector search, tool-calling patterns, and LangChain / Semantic Kernel for orchestration.</li>\n<li>Define and enforce REST API design standards, JSON schema definitions, and event/message-based integration patterns across AI workloads.</li>\n<li>Lead the evolution of solutions from MVP to productized platforms, including refactoring, hardening, and meeting non-functional requirements around performance, reliability, observability, and security.</li>\n<li>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.</li>\n<li>Evaluate and integrate emerging agent frameworks and patterns (MCP, A2A) to continuously modernize platform capabilities.</li>\n<li>Use LangSmith or equivalent tooling to implement tracing, evaluation, and quality assurance across agentic pipelines.</li>\n<li>Document architectures, sequence diagrams, and interaction flows using Visio, Figma, or similar tools; facilitate collaborative design sessions using Mural/Miro with distributed teams.</li>\n<li>Partner with cross-functional and multi-program teams to ensure platform components are reused and versioned effectively across products.</li>\n<li>Support incident management and post-mortems, contributing to a culture of continuous improvement in live production contexts.</li>\n</ul>\n<p> </p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What You'll Need to Be Successful</span></p>\n<p><br></p>\n<p>Core Technical &amp; Architectural Experience</p>\n<ul>\n<li>At least one end-to-end production AI or agentic system delivered on Azure, not just experimentation.</li>\n<li>Deep understanding of Azure AI Foundry, Azure OpenAI Service, vector search, and tool-calling–based architectures.</li>\n<li>Hands-on experience with LangChain and/or Semantic Kernel for orchestration, and LangSmith or equivalent for tracing and evaluation.</li>\n<li>Familiarity with emerging agent frameworks and patterns (MCP, A2A), with demonstrated experimentation in real workflows.</li>\n<li>Strong foundation in REST API design and integration, JSON schema definition, and event/message-based architecture patterns.</li>\n</ul>\n<p><br></p>\n<p>Productization, Scale &amp; Operations</p>\n<ul>\n<li>Proven track record taking solutions from MVP to productized platform, with experience in refactoring, hardening, and addressing non-functional requirements.</li>\n<li>Hands-on deployment experience with scalable Azure environments: AKS, App Service, Azure Functions, or equivalent services.</li>\n<li>Experience collaborating with DevOps/SRE/Operations teams to define runbooks, SLIs/SLOs, logging, and monitoring for production systems.</li>\n<li>Familiarity with incident management and post-mortems in live production environments.</li>\n</ul>\n<p><br></p>\n<p>Tooling &amp; Collaboration</p>\n<ul>\n<li>Daily working proficiency with GitHub (repositories, PRs, GitHub Actions) and Jira (backlog management, boards, epics).</li>\n<li>Exposure to ServiceNow for change and incident management, including working with Change/ITSM processes.</li>\n<li>Ability to document complex architectures, sequence diagrams, and interaction flows using Visio, Figma, or similar tools.</li>\n<li>Comfortable driving collaborative design sessions using Mural, Miro, or whiteboard tools with distributed, multi-timezone teams.</li>\n<li>Experience operating within multi-program environments where shared platform components are reused and versioned across multiple teams and products.</li>\n</ul>\n<p> </p>\n<p><br><br></p>\n<p><br></p>\n<p><br><br></p>\n<p><br><br></p>",
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