AI Account Director

AI Account Director

Sales - Toronto Ontario (Hybrid)

A technology innovation firm that has launched 750 applications over the past 18 years for global brands including Suncor Loblaw Petro Canada RBC Porter Airlines Chatters David Yurman Meridian Empire Life First Canadian Title Gateway Casinos and the Canadian Standards Association.

We bridge the gap between AIs promise and business reality delivering pragmatic AI solutions that create measurable business outcomes rather than theoretical possibilities. Our approach is business-first: we start with client objectives and work backward to ensure every AI initiative delivers measurable ROI. We are looking for builders who share this philosophy.

Our work increasingly takes us beyond individual AI use cases into designing enterprise agentic frameworks the orchestration observation and decision-modelling layers that unify our clients existing AI platforms into coherent governable brand-safe systems. We are connected into the Canada AI Alliance and Global AI Leaders Alliance networks giving us cross-industry visibility into how the most demanding AI organizations are building.

Role Summary

• AI consulting sales to enterprise accounts
  
• find the wedge run the pursuit close the work and grow the account after delivery starts.
  
• Consultative sales
  

They sell AI advisory and implementation into retail and grocery financial services manufacturing automotive and healthcare sectors. Buyers are executives who are past the pilot stage and want business outcomes not model demos.

What you own

• Run client Discovery calls & Discovery wedges - AI use case demos AI-DLC framework workshop agentic framework workshop AI ROI calculator wedge AI Talent playbook wedge AI adoption playbooks wedge etc
  
• Pursuit management. Run the deal: qualification stakeholder mapping pursuit plan timelines internal resourcing.
  
• Solution shaping. Frame the client problem and the commercial case. Our AI and consulting leads design the solution; you own the narrative the value case and the fit.
  
• Proposals and RFPs. Own the proposal and its commercial structure including pricing and scope trade-offs.
  
• Negotiation and close. Carry the number. Own MSAs SOWs and renewal negotiations through to signature.
  
• Client partnership. Be the clients senior point of contact after signature. Protect delivery quality surface issues early and stay in the account.
  
• Account growth. Mine and farm the accounts you close. Expand from the first engagement into adjacent business units and use cases.
  

What you need

• 8 years selling enterprise technology services with a track record of closing multi-million-dollar engagements into executive buyers.
  
• A consulting or professional-services background. You can hold a business conversation about operations margin and risk before anyone opens a slide.
  
• Fluency in AI: what agentic systems actually do where they fail and how enterprises govern them. You do not need to build them.
  
• AI-native working habits. You use these tools daily in your own work research account planning proposal drafting follow-up.
  
• Comfort as the senior person in the room with a CIO COO or divisional GM.
  

Strong Assets

• Existing relationships in one or more of our target sectors.
  
• Demo delivery - you can run a working demo yourself rather than scheduling one.
  
• RFP and proposal writing strength.
  
• Partner-led selling through hyperscalers or systems integrators.
  

How Performance in measured

• Annual booked revenue against quota.
  
• Qualified pipeline generated self-sourced share.
  
• Win rate and average engagement size.
  
• Account expansion: revenue growth in year two of an account versus year one.
  
• Client retention and reference quality.
  

What You Will Work On

They deliver solutions across several domains. Here are examples of the types of projects you would contribute to:

• Designing the cross-platform agentic framework orchestration observation and decision modelling for an enterprise client unifying Salesforce Agentforce Snowflake Cortex Sigma and Enterprise ChatGPT into a single governable system.
  
• Building multi-agent systems that reduce manual decision-making by 30% and improve response times by 40%.
  
• Implementing AI-driven quality monitoring for manufacturing clients that reduces batch rejections by 25%.
  
• Developing hyper-personalization engines for retail and luxury clients that increase digital conversion rates by 2027%.
  
• Creating data pipelines and AI infrastructure that enable new AI initiatives while reducing data preparation time by 60%.
  
• Architecting observability evaluation and governance frameworks that pass enterprise brand legal and privacy review.
  
• Building reference architectures and reusable IP that scale across multiple engagements.