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Indigo Beam Consulting

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AI Solutions Architect

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Summary

Senior hands-on AI Solutions Architect (remote, based in Mexico) who designs, builds, and operates internal AI solutions — AI agents, RAG pipelines, and Microsoft 365/Copilot integrations on Azure. The role splits roughly 50/50 between technical delivery and business engagement, from discovery through production, governance, and cost control.

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)


Skills

See also

Architecture jobs by country — openings, pay and top skills →

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