Is the AI Strategy & Enterprise Architect role fully remote?

Yes — this AI Strategy & Enterprise Architect role is remote-friendly. The listing is anchored to Mexico city, DF for tax and payroll purposes, but the client is open to candidates who can work from anywhere the applicant-location requirements allow. Occasional travel for on-site quarterly reviews may be requested; the recruiter will confirm during your calibration call.

Is this a permanent role?

Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.

What is the compensation range for this role?

The advertised range for this AI Strategy & Enterprise Architect role is $110,000–$120,000 per month. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

What technical skills does the AI Strategy & Enterprise Architect role require?

The client is targeting depth in AI. Adjacent experience is welcome — we routinely place candidates whose exact stack match is 60-70% when the underlying pattern (distributed systems, regulated-data handling, or comparable) is strong. Bring the full stack breadth to your calibration call; the recruiter will map it onto the client's evaluation scorecard.

Remotefull timeReq 26-02595Posted Today

AI Strategy & Enterprise Architect

Full Time/Contract role in Mexico city, DF. Remote engagement, matched and submitted by an ApTask vertical recruiter.

Location: Mexico city, DF · Remote
Compensation: $110k–$120k/mo

Talk to a recruiter

Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

Stack

About the role

At a glance

AI summary

Day-to-day: Define enterprise AI strategy and roadmaps, architect Generative AI and Copilot solutions, design multi-agent systems using Azure OpenAI and RAG, build MLOps frameworks, establish governance standards, integrate with enterprise platforms like SAP and ServiceNow
You'll bring: 10 years IT experience, 5 years Azure architecture, proven enterprise AI leadership, expertise in Azure OpenAI/Search, RAG, LLMs, Python, PySpark, MLOps, GitHub, Azure DevOps, TOGAF, AZ-204 and AI-102 certifications
Good fit if: You've designed enterprise-scale AI platforms, led customer transformation programs, have AWS/GCP exposure, know Power Platform and Responsible AI frameworks, hold Azure Solutions Architect Expert or Databricks LLM certification

Generated from the recruiter description below. The full posting is the source of truth — always read it before applying.

AI Strategy & Enterprise Architect
Location: Mexico (Remote)
Shape the Future of Enterprise AI
We are seeking an experienced AI Strategy & Enterprise Architect to lead AI transformation initiatives, define enterprise AI roadmaps, and drive adoption of Generative AI, Copilot, and Agentic AI solutions across global organizations.
This role combines strategic leadership, enterprise architecture, and hands-on expertise in AI technologies to help organizations accelerate innovation and unlock business value through Artificial Intelligence.

What You'll Do
Enterprise AI Strategy

Define and drive enterprise AI vision, roadmap, and architecture strategy.
Partner with executive stakeholders and business leaders to accelerate AI adoption.
Lead enterprise-wide AI transformation initiatives and governance programs.
Design scalable AI solutions across cloud, on-premises, and hybrid environments.

Generative AI & Copilot Solutions

Lead the implementation of Generative AI, Large Language Models (LLMs), and Agentic AI solutions.
Architect Microsoft Copilot and Copilot Studio solutions, including workflows, integrations, and orchestration patterns.
Design multi-agent ecosystems and knowledge-driven AI platforms using:
- Azure OpenAI
- Azure AI Search
- RAG Architectures
- Vector Databases
Implement prompt engineering strategies and enterprise data grounding techniques.

AI Engineering & Data Platforms

Deploy, fine-tune, and customize AI models and LLM-based solutions.
Build scalable AI platforms using Python, PySpark, Azure AI Services, and modern data engineering practices.
Establish MLOps and LLMOps frameworks for model lifecycle management.

Architecture, Governance & DevOps

Define AI application lifecycle management (ALM) strategies.
Build CI/CD pipelines using GitHub and Azure DevOps.
Establish standards for:
- Security & Compliance
- Data Loss Prevention (DLP)
- Responsible AI
- Data Governance
Ensure scalable, secure, and repeatable deployments.

Enterprise Integration

Architect integrations with platforms such as:
- SAP
- Dynamics 365
- ServiceNow
Design APIs, custom connectors, and automation workflows.
Deliver executive presentations, customer workshops, and AI enablement sessions.

Required Experience
10 years of IT experience
5 years of Azure architecture experience
Proven experience leading enterprise AI initiatives
Strong expertise in:

Azure OpenAI
Azure AI Search
RAG Architectures
Vector Databases
Prompt Engineering
LLM-based Solutions
Python & PySpark
Azure AI Services
MLOps / LLMOps

Experience with:

GitHub
Azure DevOps
Power Automate
Azure Functions
REST APIs
Docker & Kubernetes

Strong stakeholder management and executive communication skills

Preferred Qualifications

Experience designing enterprise-scale AI platforms and multi-agent systems.
Exposure to AWS and GCP environments.
Experience with Power Platform, Dataverse, and Copilot Studio.
Knowledge of Responsible AI and enterprise governance frameworks.
Experience leading customer workshops and transformation programs.

Certifications
Required

TOGAF
Microsoft Certified: Azure Developer Associate (AZ-204)

Preferred

Azure Solutions Architect Expert
AI-102 Azure AI Engineer Associate
DP-100 Azure Data Scientist Associate
Databricks LLM Certification

About technology at ApTask

What this vertical looks like inside ApTask.

Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialise in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the AI Strategy & Enterprise Architect role fully remote?: Yes — this AI Strategy & Enterprise Architect role is remote-friendly. The listing is anchored to Mexico city, DF for tax and payroll purposes, but the client is open to candidates who can work from anywhere the applicant-location requirements allow. Occasional travel for on-site quarterly reviews may be requested; the recruiter will confirm during your calibration call.
Is this a permanent role?: Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.
What is the compensation range for this role?: The advertised range for this AI Strategy & Enterprise Architect role is $110,000–$120,000 per month. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.
How quickly does the interview process move?: If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.
What technical skills does the AI Strategy & Enterprise Architect role require?

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