Chief Solution Architect (Pre-sales, AI + Data Transformation)
J
JobgetherAI and data
Based in Canada; opportunity to work remotely from CanadaFull-TimeExecutive
Salary not disclosed
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Job Details
- Experience
- 7–12 years of professional experience in data engineering, analytics, machine learning, cloud engineering, or solution architecture; at least 3 years of experience in pre-sales, technical consulting, or client-facing advisory roles.
- Required Skills
- AWSGCPMachine LearningMicrosoft AzureGenerative AI
Requirements
- Have 7–12 years of professional experience in data engineering, analytics, machine learning, cloud engineering, or solution architecture.
- Have experience contributing to large-scale digital, data, or AI transformation initiatives.
- Have at least 3 years of experience in pre-sales, technical consulting, or client-facing advisory roles.
- Demonstrate the ability to influence complex enterprise opportunities.
- Bring strong expertise in cloud-based architecture, including infrastructure design, data architecture, governance, application design, and enterprise technology modernization.
- Understand Generative AI and Agentic AI concepts, architectures, implementation approaches, and enterprise applications.
- Have strong hands-on knowledge of Google Cloud Platform, preferred; substantial AWS or Azure architecture experience is also considered.
- Have experience designing and presenting end-to-end data, analytics, machine learning, and AI solutions.
- Have experience contributing to strategic enterprise deals, including solution shaping, commercial discussions, technical proposals, and engagements valued at $1 million or more.
- Understand the consulting sales lifecycle, including discovery, opportunity qualification, solution design, estimation, SOW development, and RFP processes.
- Be able to present to C-suite executives, facilitate strategic workshops, negotiate technical and commercial trade-offs, and influence senior stakeholders.
- Have experience in at least one of Telecommunications, Financial Services, Media, or Agencies; this experience is highly desirable.
Responsibilities
- Partner with sales teams to lead client discovery, identify business challenges, qualify opportunities, and shape technical solutions and proposals.
- Design scalable data engineering, analytics, machine learning, Generative AI, and Agentic AI architectures, primarily using Google Cloud Platform.
- Facilitate executive workshops and technical discussions on AI strategy, cloud modernization, data platform transformation, and Generative AI readiness.
- Lead technical estimation, project scoping, Statements of Work, and RFP responses with sales and delivery stakeholders.
- Support deal strategy, solution reviews, and technical positioning for strategic enterprise opportunities, including engagements valued at $1 million or more.
- Develop architecture recommendations that balance business impact, technical feasibility, implementation complexity, and cost efficiency.
- Build relationships with C-suite executives, business decision-makers, enterprise architects, and technical stakeholders.
- Represent the organization at client meetings, industry conferences, partner events, and other strategic engagements.
- Collaborate with go-to-market teams to develop industry-specific presentations, briefs, technical perspectives, and reusable solutions.
- Establish technical standards and reusable architectures, and share industry insights, discovery methods, and technical accelerators with internal teams.
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