Hire an AI
AI Architect
Find an AI Architect who designs enterprise AI infrastructure that scales safely.
AI Architects design the systems, frameworks, and governance structures that allow organizations to build AI at scale. They make the foundational decisions — which models to use, how to manage data pipelines, how to handle compliance and safety — that determine whether an AI program succeeds long-term.
- AI Architects with enterprise platform design and governance experience
- Candidates who can design for scale, security, and responsible AI
- We screen for practical depth, not just certifications
- Contract, contract-to-hire, or full-time — your choice
- US and Canada talent. Shortlist in 5–10 business days.
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About CRM Force
Boutique means something different when the person who built the company has done the work.
Saad Ahmed spent 20 years as a CRM consultant, solution architect, and implementation lead — building marketing automation and CRM systems for clients from start-ups to publicly traded enterprises. He founded CRM Force to bring practitioner-led vetting to a space dominated by generalist agencies.
Every candidate goes through a two-step internal qualification process — reviewed by two separate evaluators before they reach you. We confirm experience, certifications, technical depth, and fit. You receive a shortlist, not a resume dump.
CRM consultants, architects, developers, and admins. Marketing automation specialists. RevOps leaders, business analysts, and project managers. If it touches the CRM or marketing technology stack, we place it. Contract, contract-to-hire, and direct hire — across all seniority levels.
We Recruit for You
Three reasons companies choose us over a traditional recruiter — and what makes the difference in practice.
Vetted by Someone Who Has Done the Work
Saad Ahmed, founder of CRM Force, spent 20 years as a CRM Consultant and Solution Architect — building HubSpot implementations, designing data models, and running client engagements himself. When he reviews a candidate for your role, he is not reading a job description. He is evaluating whether someone can do work he has done himself. That distinction matters.
No Resume Dumps. A Shortlist You Can Act On.
You receive 3 to 5 pre-vetted candidates, each with our written assessment — why we believe they fit your role, where they are strong, and what to probe in the interview. Our internal process puts every candidate through two separate evaluation stages before they reach you. You only meet people who have cleared the bar.
Three Engagement Models. One Standard.
Contract for short and long-term engagements. Contract-to-hire when you want to try before you commit. Direct placement for permanent roles. Every model includes the same sourcing, multi-stage screening, skills assessment, and reference validation. The delivery vehicle changes — the standard does not.
Our Recruitment Process
Four steps from brief to shortlist — no surprises, no padding, no wasted interviews.
We Learn Your Requirements
A focused role briefing call — not a generic intake form. We ask about portal size, Hub configuration, seniority level, technical depth required, team structure, and what a genuinely great candidate looks like for your specific situation. The brief matters more than most clients expect.
We Search Our Network
We work our pre-built database of CRM and HubSpot professionals alongside targeted outreach to passive candidates who are not actively applying. The majority of the people we present are not on job boards — they are available to the right opportunity, if the right person asks.
You Receive a Shortlist
Typically 3 to 5 pre-vetted candidates, each with our written assessment — not just a resume. We tell you why we believe each person is right for your specific role, where they are strong, and what you should probe in the interview. You decide who moves forward.
We Support You to Offer
We coordinate interviews, facilitate debriefs, provide market-rate compensation benchmarks, and support you through the offer stage. The search does not end when we send the shortlist — it ends when you have the right person in the role.
Looking for an AI Architect?
We place CRM and Marketing Automation professionals across the US and Canada.
Industries We Serve
AI Architects are critical for enterprises building AI programs that need to work at scale across complex environments. We work with organizations of all sizes — from growth-stage startups to publicly traded enterprises — across all major industries.
Not sure what you need? We can help you define the role.
One conversation is usually enough. No commitment required.
Signs You Need an AI Architect
A few things we hear from clients before they reach out.
- Your AI projects are fragmented — no common infrastructure or standards
- You are integrating AI across multiple business units and need coordination
- Data governance and compliance for AI use is unresolved
- You need a reference architecture before building your AI platform
- Your AI initiatives have failed due to infrastructure or integration gaps, not model quality
What to Look For in an AI Architect
The best AI Architects combine deep technical knowledge with the systems thinking to design programs that outlast any single project.
Red Flags to Watch For
- Only has individual model experience — no enterprise-wide program design
- Cannot discuss AI governance, bias, or compliance considerations
- Unfamiliar with FinOps for AI — no experience managing AI infrastructure costs at scale
- Has never worked across multiple teams or business units to align AI standards
Whatever your sector, we know CRM talent.
Tell us about the role and we will get back to you within one business day.
What an AI Architect Does
AI Architects operate at the intersection of technology, strategy, and governance.
AI Platform Design
Designs shared AI infrastructure — model serving, feature stores, training platforms — that multiple teams use.
Reference Architecture
Produces the technical blueprints that guide how AI is built, integrated, and governed across the organization.
MLOps Strategy
Defines MLOps standards, tooling choices, and automation patterns for model lifecycle management at scale.
AI Governance
Establishes policies for responsible AI — bias checks, explainability requirements, audit logs, and regulatory compliance.
Vendor Evaluation
Assesses and selects AI platforms, foundation model providers, and tooling based on strategic fit and technical merit.
Technical Leadership
Leads AI engineering teams, sets quality standards, and aligns AI initiatives with business architecture.
AI Architecture Domains
AI Architects bring expertise across four key domains that determine enterprise AI success.
Data & Feature
The data foundation that AI systems run on.
- Data lakehouse design
- Feature store architecture
- Real-time data pipelines
- Data quality and lineage
Model & Training
Infrastructure for building and managing models.
- Training cluster design
- Experiment management
- Model registry
- Distributed training patterns
Serving & Ops
How models reach production and stay healthy.
- Inference infrastructure
- A/B testing frameworks
- Drift monitoring
- Cost optimization
Governance & Risk
Ensuring AI is safe, fair, and compliant.
- Responsible AI policies
- Bias and fairness audits
- Explainability (SHAP, LIME)
- Regulatory alignment
Frequently Asked Questions
- What is the difference between an AI Architect and an AI Engineer?
- An AI Engineer builds and deploys specific AI systems. An AI Architect designs the platforms, standards, and governance that multiple AI systems run on. Architects operate at a higher level of abstraction and are responsible for the technical strategy of an entire AI program.
- Do smaller companies need an AI Architect?
- Not always. Startups and early-stage companies often need an AI Engineer first. An Architect becomes critical when you have multiple AI projects, multiple teams building AI, or significant compliance and governance requirements.
- How long does it take to hire an AI Architect?
- AI Architects are senior, specialized roles. CRM Force typically takes 7 to 14 business days to deliver a qualified shortlist. We draw from a network of architects with enterprise AI program experience.
- Do you place AI Architects on a consulting or full-time basis?
- Both. Many organizations engage an AI Architect on a consulting basis first — to design the architecture and governance framework — then hire full-time once the program is established.
Tell Us What You’re Looking For
Share the role, your timeline, and any must-haves. No commitment required.