Hire an AI
AI Solutions Engineer
Find an AI Solutions Engineer who wins technical deals by showing, not just telling.
AI Solutions Engineers are the technical experts who support the sales process for AI products and platforms. They build proof-of-concepts, demo complex capabilities, answer technical objections, scope implementations, and serve as the bridge between what the product can do and what the customer actually needs. They win enterprise deals through technical credibility.
- AI Solutions Engineers with pre-sales experience and deep AI product knowledge
- Candidates screened for both technical depth and presentation fluency
- 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 Solutions Engineer?
We place CRM and Marketing Automation professionals across the US and Canada.
Industries We Serve
AI Solutions Engineers are essential at AI companies selling into enterprise — where technical complexity and long sales cycles require dedicated technical support. 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 Solutions Engineer
A few things we hear from clients before they reach out.
- Your account executives are losing technical deals because they cannot answer deep product questions
- Your sales cycle involves technical evaluations and RFPs that need dedicated engineering support
- Your POC conversion rate is low because implementations are poorly scoped
- Technical buyers are stalling deals waiting for answers your AEs cannot provide
- You are scaling an enterprise AI sales motion and need a scalable technical layer
What to Look For in an AI Solutions Engineer
AI Solutions Engineers must be as comfortable in a whiteboard session as they are writing a demo script.
Red Flags to Watch For
- Has only done internal engineering — no customer-facing technical experience
- Cannot build a customized demo in a short timeframe without engineering support
- Struggles to explain limitations or trade-offs of the AI product honestly
- Treats every RFP as a documentation exercise rather than a sales opportunity
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 Solutions Engineer Does
AI Solutions Engineers are the technical closers who make enterprise AI deals happen.
Demo Development
Builds customized product demonstrations that showcase AI capabilities in the context of each customer's specific use case.
Technical Scoping
Defines POC scope, integration requirements, and technical success criteria with accuracy and commercial awareness.
RFP Responses
Leads technical sections of RFP responses, security questionnaires, and architecture review requests.
Discovery
Runs technical discovery sessions to understand customer environments, data sources, and integration constraints.
POC Delivery
Builds and delivers working proof-of-concept implementations that convert evaluations into commercial agreements.
Competitive Positioning
Maintains deep knowledge of competing AI solutions and articulates technical differentiation clearly.
AI Solutions Engineering Contexts
AI Solutions Engineers work across different AI product categories.
AI SaaS Products
AI-powered software with complex enterprise sales cycles.
- LLM-powered enterprise tools
- AI analytics and BI
- Automation platforms
- Vertical AI applications
AI Infrastructure
AI development platforms and infrastructure products.
- MLOps platforms
- Model serving infrastructure
- Vector databases
- AI development tools
Cloud AI Services
Hyperscaler AI services and APIs.
- AWS AI/ML services
- Azure AI and Cognitive Services
- Google Cloud AI
- OpenAI enterprise
AI Consulting
Technical pre-sales for AI consulting firms.
- Custom AI development scoping
- Data readiness assessment
- Architecture proposals
- ROI modeling
Frequently Asked Questions
- What is the difference between an AI Solutions Engineer and a Sales Engineer?
- They are essentially the same role, applied to AI products. AI Solutions Engineer is the more common title in AI-focused companies, while Sales Engineer is used more broadly across tech. The core function is the same: provide technical support during the sales cycle to increase win rates and deal velocity.
- Do AI Solutions Engineers need to know how to code?
- Yes. Building customized demos, writing integration scripts for POCs, and responding to deep technical questions all require real coding ability. AI Solutions Engineers who cannot code are significantly less effective in complex enterprise sales.
- How long does it take to hire an AI Solutions Engineer?
- CRM Force typically delivers a shortlist within 5 to 10 business days. AI Solutions Engineers who combine strong AI technical knowledge with presentation fluency and customer empathy are uncommon — the pool of qualified candidates is smaller than it appears.
- What are typical comp ranges for AI Solutions Engineers?
- AI Solutions Engineers are well-compensated due to their impact on revenue. Base salaries typically range from $120K to $200K+ in the US, with commission or bonus often adding 20 to 30 percent on top. Senior and Principal SEs at AI companies can earn significantly more.
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