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Indigo Beam

Mexico City / Global

AI Solutions Architect

  • Remote

Job Description

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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