Looking for Senior
AI Talent?
Boutique AI talent recruitment — done right.
AI roles take an average of 142 days to fill — the longest time-to-fill in technology. Generalist recruiters don’t know the difference between an AI Integration Architect and a Forward Deployed Engineer. We do. We place both.
- AI specialists across enterprise CRM, infrastructure, and frontier roles
- Pre-vetted by practitioners who understand what the role actually demands
- Senior-first — shortlisted candidates only, no resume dumps
- Contract, contract-to-hire, or retained search
- US-based talent, placed in weeks — not months
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AI Roles We Specialize In
AI talent is not a single category. From enterprise platform specialists to forward deployed engineers, the roles are distinct — and so is the sourcing. We place across the full spectrum.
Enterprise CRM AI
Salesforce Agentforce, HubSpot Breeze, and Microsoft Copilot for Dynamics 365 — AI implementation specialists inside the CRM platforms your team already runs.
Forward Deployed Engineering
On-site AI specialists who embed inside a client’s environment to build, integrate, and operationalise AI capabilities. The role OpenAI made famous — now in demand across enterprise software and consulting.
AI Integration Architecture
Designing and building the plumbing between AI models and enterprise systems — CRMs, ERPs, databases, and APIs. The connective tissue that makes AI production-ready.
AI Product Management
Product managers who own AI-native features or AI product lines. Different from traditional PM work — they need to understand what models can and cannot do and translate that into shipped product.
MLOps Engineering
Infrastructure for ML at scale: model versioning, deployment pipelines, monitoring, drift detection, and the operational layer that keeps AI systems reliable in production.
AI Solutions Architecture
Pre-sales and delivery architects who design AI solutions for enterprise clients, own the technical relationship, and bridge the gap between AI capability and business outcome.
Chief AI Officer (CAIO)
Senior executive leading enterprise AI strategy, governance, ethics frameworks, and cross-functional adoption. Retained search engagements for organisations standing up their AI leadership function.
Composable CDP & Data Engineering
Hightouch, dbt, Snowflake — the data infrastructure layer that feeds AI models. Composable CDP architects are the scarcest profile in the category and the compensation reflects it.
AI Governance & Policy
Risk management, AI ethics, regulatory compliance (EU AI Act, NIST AI RMF), and responsible AI frameworks. Organisations under regulatory scrutiny are adding this function now.
Roles We Place
Senior profiles are our specialty. The list below is representative — AI role titles are still evolving. If you need an AI specialist we haven’t named here, describe what you need and we’ll tell you if we can help.
- Forward Deployed Engineer (FDE)
- Salesforce Agentforce Specialist
- HubSpot Breeze AI Specialist
- Microsoft Copilot for Dynamics 365 Specialist
- AI Integration Architect
- AI Solutions Architect
- AI Product Manager
- MLOps Engineer
- Composable CDP Architect (Hightouch / dbt / Snowflake)
- Chief AI Officer (CAIO) — Retained Search
- AI Governance Specialist
- AI Implementation Consultant
Don’t see your role? AI titles are still evolving — we track emerging role types closely. Tell us what you need and we’ll tell you if we can help.
How We Find Your Next AI Hire
A focused process that moves you from brief to shortlist in days — not months.
Tell Us What You Need
Describe the role, the stack, and what “done” looks like. AI roles often require more context than traditional tech roles — one conversation is usually enough for us to fully understand the brief.
We Source and Vet
We search our network and screen candidates against the specific AI skills, delivery history, and business context your role demands. We know the difference between a certificate holder and someone who has shipped AI in production.
You Review a Shortlist
You receive a small number of pre-screened candidates — typically 2–4. Every profile has been personally evaluated. Your time is spent on real conversations, not filtering.
You Hire
Contract, contract-to-hire, full-time, or retained search. We handle the paperwork on our end. You get to work.
Who We Work With
We place AI talent across a range of organisations — from enterprises activating AI inside existing platforms to companies standing up their first AI leadership function.
Enterprise Companies Activating AI Inside Existing Platforms
Salesforce, HubSpot, and Microsoft shops that have the platform but need someone who has actually built Agentforce, Breeze, or Copilot workflows in production — not just explored the documentation.
AI-Native Companies & Hyper-Scalers
Companies building AI products who need specialist execution capacity — forward deployed engineers, AI integration architects, and ML engineers who have shipped production AI at scale.
Consulting & SI Firms Building AI Practices
Partners building out Agentforce, Copilot, or generative AI practices who need senior practitioners to staff client programmes. They win the work — we help them deliver it.
Companies Standing Up AI Leadership
Organisations adding a Chief AI Officer or formal AI strategy function for the first time. Retained search engagements where the quality of the hire has long-term strategic implications.
Signs that it is Time to Hire
A few things we hear from clients before they reach out.
- AI is on your roadmap and you need someone who has actually shipped it in production, not just built demos
- Your team has a ChatGPT account and calls it an AI strategy
- Agentforce, Breeze, or Copilot is in your product roadmap but nobody on your team has built with it
- You hired a vendor to implement AI and now you need someone in-house to own what was built
- Your competitors are deploying AI-assisted workflows and you can’t find someone to lead it internally
- You need a Forward Deployed Engineer but don’t know where to find them
- Your CTO asked for an AI hire and every recruiter you talked to sent you software engineers who attended an LLM bootcamp
- You’re standing up a CAIO function and need a strategic hire who can also operate
Why CRM Force?
We Vet Like Practitioners, Not Recruiters
Saad Ahmed, founder of CRM Force, spent seven years running his own CRM and marketing implementation firm — delivering projects himself. We evaluate AI candidates the way a hiring manager who has shipped AI would. Not by scanning LinkedIn endorsements. By understanding what the role actually demands.
Senior-First. No Resume Dumps.
You get a shortlist of pre-screened professionals. Not a stack of profiles from people who completed a 12-week AI bootcamp. Every candidate we present has been evaluated against the technical depth, delivery history, and business context your role requires.
Flexible Engagement Models
Contract, contract-to-hire, full-time placement, or retained search for CAIO-level hires. We work across all engagement types — so you can bring on the right person in whatever way makes sense for your timeline and budget.
Frequently Asked Questions
- What is a Forward Deployed Engineer?
- A Forward Deployed Engineer (FDE) is an AI specialist who embeds directly inside a client’s environment — often on-site — to build, integrate, and operationalise AI capabilities using the client’s own systems and data. The role was popularised by OpenAI and is now in demand across enterprise software companies and large consulting firms. FDEs are part engineer, part consultant, and part strategist.
- How is an AI Integration Architect different from a software engineer?
- A software engineer builds to a spec. An AI Integration Architect designs the architecture that connects AI models to enterprise systems — they decide which models to use, how to orchestrate them, how to manage latency and cost, and how to make the whole system reliable in production. The scope is broader and the business judgment required is higher.
- Do you place Salesforce Agentforce specialists?
- Yes. Agentforce is one of Salesforce’s highest-growth products — $800M ARR with 169% year-over-year growth — and every Salesforce implementation partner is hiring for it. We have candidates with genuine Agentforce delivery experience, not just Trailhead completions.
- How long does it typically take to fill an AI role?
- Industry data puts average time-to-fill for AI roles at 142 days — the longest of any technology category. That is with a generalist recruiter. With a specialist who knows the market, who the candidates are, and how to assess genuine AI depth, we consistently beat that timeline by a meaningful margin.
- Do you work with US-based talent only?
- All candidates we place are based in the US or Canada.
Tell Us What You’re Looking For
Share the role, the technical context, and any must-haves. No commitment required.