About this role
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)