AI Solutions Architect

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)
  

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.