Fujitsu Intelligence is an emerging center of excellence and forward-looking innovation center in Fujitsu’s global operations for data science, artificial intelligence, optimization, and digital transformation. Located in Vancouver, Canada, and operating as a gateway to Fujitsu’s profound global engineering and innovation ecosystem, Fujitsu Intelligence is positioned as a digital transformation catalyst, working to grow Fujitsu’s AI and optimization business in North America and globally.
Comprised of a diverse and talented team of professionals committed to helping Fujitsu’s customers navigate an increasingly digital world, Fujitsu Intelligence believes that employee development, health and wellbeing, work-life balance, and diversity and inclusion are as important to them as being leaders in digital innovation. Fujitsu Intelligence’s goal is to create an environment where employees feel free to be their authentic selves at work and realize their full potential all while working collaboratively together to co-create transformative solutions at the heart of reimagining how businesses and society can thrive in this millennium.
Position Summary
We're looking for an experienced deployment-focused technical leader to join Fujitsu's AI and optimization team. This role is responsible for maximizing the impact and scalability of customer deployments by shaping how solutions are deployed—not only what is built.
As a Deployment Strategist, you will help define deployment patterns, engagement models, and delivery approaches that allow AI, optimization, and data-driven solutions to scale across customers and industries. You will work at the intersection of customer problem framing, pre-sales execution, technical feasibility, scope definition, and delivery risk management.
This position is within the Professional Services team , where you will work alongside forward deployed engineers, data scientists, engineers, software developers , and sales stakeholders to ensure customer engagements are feasible, well-scoped, and aligned to measurable business value .
About the position
A successful candidate will perform the following:
- Define deployment patterns, archetypes, and engagement models that enable repeatable, scalable delivery across customers and use cases
- Determine which solution components should be customized, standardized, or productized to maximize long-term impact and reuse
- Support pre-sales engagements by evaluating technical feasibility, delivery risk, deployment approach, and overall executability
- Draft project scopes, delivery plans, assumptions, dependencies, and resource estimates in collaboration with sales and delivery teams
- Build proofs-of-concept, technical demos, and deployment narratives in partnership with field deployment engineers and technical teams
- Help customers articulate goals, success metrics, constraints, and operating assumptions early in the engagement lifecycle
- Push back constructively on ill-defined, low-leverage, or misaligned requests and reframe them around business value
Anticipate technical, organizational, and delivery risks, and ensure deployment scope remains aligned to customer outcomes
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Basic Qualifications
We recognize that not every candidate will meet every qualification listed in our job description. However, we value diverse perspectives and experiences, and we believe in hiring individuals who bring unique strengths to our team. If you are passionate about this role and our mission, we encourage you to apply even if your qualifications do not perfectly align with the requirements. You may be the ideal candidate for this or other opportunities within our organization. We are committed to fostering an inclusive and diverse workplace and look forward to learning more about what you can contribute.
- Bachelor’s, Master’s , or PhD degree in engineering, computer science, data science , operations research, business, or a related quantitative or technical field
- Experience in consulting, solution delivery, technical pre-sales, deployment strategy, product implementation, or a comparable client-facing technical role
- Proven ability to translate ambiguous customer needs into clear problem statements, success metrics, delivery plans, and scoped technical work
- Strong communication skills with the ability to explain technical trade-offs, deployment risks, and business implications to both technical and non-technical stakeholders
- Experience assessing technical feasibility, delivery complexity, and implementation risk for customer-facing solutions
- Organized, articulate, and able to manage multiple customer engagements, deliverables, and internal stakeholders at any given time
Familiarity and willingness to work in cross-cultural, geo-diverse, and multidisciplinary teams
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Preferred Qualifications
- Experience supporting enterprise AI, data, optimization, analytics, or digital transformation deployments
- Experience with Palantir Foundry or a comparable deployment, data, analytics, or application development platform
- Experience building technical demos, prototypes, or proofs-of-concept for customer engagements
- Experience contributing to statements of work, project plans, estimates, delivery assumptions, or commercial proposals
- Experience working with field deployment engineers, product teams, sales teams, or solution architects to move from customer need to executable delivery plan
Comfort operating in ambiguous environments and applying sound judgment to balance customization, standardization, and productization
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Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $121,284.80 to $155,937.60 CAD.
Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.
