Chief Solution Architect – Pre-sales, AI, Data Transformation

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🔍 Pre-sales Engineer

Where this job comes from

Posted on Datatonic's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Datatonic

Datatonic

51 - 200 employees

Founded 2013

💼 Consulting

📦 Logistics

📣 Marketing

💰 Pre Seed Round on 2013-01

Consulting • Logistics • Marketing

Datatonic is your go-to AI partner that addresses complex business challenges through advanced cloud data and AI consultancy. They offer a range of services including generative AI applications for various industries such as Retail, Telecommunications, Gaming, and Financial Services. With a focus on data-driven decision-making and analytics, Datatonic empowers businesses to optimize their operations and enhance customer engagement across multiple sectors.

📋 Description

• Lead early discovery alongside Sales, understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives • Apply industry best practices in data and AI to shape clients’ strategic transformations • Architect data, ML, and GenAI solutions on Google Cloud • Own scoping, estimation, Statements of Work, and RFP responses with Sales and Delivery • Support solution reviews and deal strategy for opportunities and accounts over $1M • Facilitate client workshops on AI strategy, platform modernization, and GenAI readiness • Build points of view and architecture options balancing business value, feasibility, and cost • Advise clients across data platforms, MLOps, Generative and Agentic AI, and application design • Represent Datatonic at client sites, events, conferences, partner sessions, and executive dinners • Create industry-relevant content and help shape offerings through reusable architectures and packaged solutions • Establish standards, handbooks, and technical best practices for data and agentic deployments • Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators

🎯 Requirements

• 7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including large-scale digital/data/AI transformations, with at least 3 years in a pre-sales or client-facing advisory role • Strong knowledge of cloud-based architectures, including infrastructure, data architecture, and governance • Knowledge of application design and Generative and Agentic AI concepts and deployments • Hands-on depth in GCP is ideal; strong AWS/Azure solution architects with ability to cross-skill to GCP quickly will be considered • Excellent written and verbal communication; ability to simplify complex technical ideas for business leaders • Consultative sales approach with experience shaping deals over $1M • Comfortable presenting to C-suite, negotiating trade-offs, and influencing stakeholders • Ideally, track record in Telecommunications, FSI, Media, or Agencies

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