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 2 days ago

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 AI strategy and roadmaps, architect Generative AI and Copilot solutions, design multi-agent ecosystems, implement MLOps frameworks, establish governance standards, integrate enterprise platforms, deliver executive presentations
You'll bring: 10 years IT experience, 5 years Azure architecture, proven enterprise AI leadership, expertise in Azure OpenAI, RAG architectures, LLMs, Python, PySpark, GitHub, Azure DevOps, Docker, Kubernetes
Good fit if: You've designed enterprise-scale AI platforms, led customer transformation programs, have AWS/GCP exposure, know Power Platform and Copilot Studio, hold TOGAF or Azure Solutions Architect certifications

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

About Client:
The client is a global technology, consulting, and digital solutions company with problem-solving abilities and an emphasis on developing ingenious solutions that allow its clients to remain competitive, profitable, and secure in an evolving business environment.
Client anticipates and leads change to remain in the leader s quadrant for profitable growth, driven by partnerships with globally leading hyperscales like AWS, Google Cloud, and Microsoft. It has built strong capabilities in new as well as existing technologies such as cloud, data, and digital, pioneering new frontiers.

Salary Range: CAD $110K-$120K/Month

Job Description:

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.

Responsibilities:
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:

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 ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at [email protected].

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or [email protected]. Message frequency may vary. Msg & data rates may apply.

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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