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AI Solutions Architect
Indigo Beam Consulting

Indigo Beam Consulting
Posted 2026-09-09
About the role
This is a remote position. Position : AI Solutions Architect Experience /Level: Senior Individual Contributor | Architecture Ownership, 5+ years Role Overview: We are looking for a hands-on AI Solutions Architect to design, build, deploy, and operate internal AI solutions on our cloud platform. The role combines technical delivery (~50%) and business engagement (~50%) . You will work directly with business leaders and operational teams to identify high-value AI opportunities, build production-ready solutions, and establish scalable architecture, governance, and cost controls. This is a delivery-focused role, not a research role . Success means AI systems that are deployed, adopted, and delivering measurable business value. Requirements Key Responsibilities: Design and build AI agents, RAG solutions, automation workflows, and structured-data assistants . Own the AI architecture , from discovery through production and ongoing operations. Build retrieval systems including document ingestion, chunking, indexing, search, and retrieval evaluation . Integrate AI with ERP, document management, quality systems, Microsoft 365, and other enterprise platforms . Own AI cost management — estimate, monitor, optimise, and report usage and spend. Partner with IT on security, identity, access, networking, secrets, and data residency . Support Microsoft 365 Copilot and Copilot Studio deployment, governance, and adoption. Run business discovery sessions and translate business problems into realistic, production-ready AI use cases . Present solutions to executives, subject matter experts, and operational users . Establish reusable architecture patterns, standards, and governance. Mentor and enable other technical staff as the AI capability grows. Core Technical Skills: Strong working depth expected in: Azure AI Foundry or equivalent cloud AI platform AI agents, tool/function calling and evaluation LLMs: OpenAI, Anthropic, Google Prompt engineering and AI failure handling RAG, vector/hybrid search, embedding and retrieval evaluation Azure AI Search or equivalent Working knowledge of: Microsoft 365 Copilot & Copilot Studio Power Automate, Power Apps, SharePoint & Microsoft Graph Python & SQL REST APIs, serverless functions, webhooks and workflow orchestration OCR/document extraction, e.g. Azure Document Intelligence Databricks, Microsoft Fabric, Snowflake or similar Cloud security fundamentals: RBAC, managed identity, secrets and network isolation AI-assisted development tools such as Claude Code, GitHub Copilot or Cursor Business Skills Strong stakeholder management from C-suite to frontline operations . Able to turn vague AI interest into well-scoped business problems . Comfortable challenging unrealistic requirements and saying no where appropriate. Strong presentation, demonstration and communication skills. Able to build build-vs-buy cases using real business and cost data . Comfortable managing SME validation and accuracy reviews. Able to manage projects independently from discovery to production. Strong architecture and executive-level documentation skills. Required Experience 5+ years in a technical business role such as solutions architecture, systems integration, business analysis or process automation. At least one AI/automation solution deployed to production and still in use . Strong experience in at least one major cloud platform . Demonstrated experience with prompt engineering and AI agents . Able to read, direct and debug code . Proven experience working directly with business stakeholders. Preferred Experience / Skills: Experience building a new AI/technology capability from the ground up . Cloud cost management experience. Operations, supply chain or engineering background. Experience with production AI governance and compliance. Benefits Full-Time, Remote position based in Mexico Occasional travel to US office (once per quarter)
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