Forward Deployed Engineer - Experienced

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer - Experienced based in Canada.

This is an experienced Forward Deployed Engineer opportunity for a highly technical professional who enjoys solving complex, mission-critical problems directly with clients. You will deploy and configure data and AI solutions, translate operational challenges into technical implementations, and help organizations make better decisions through their data. The role combines software engineering, data engineering, client engagement, solution design, and hands-on delivery. You will work closely with users and stakeholders to understand workflows, identify root causes, and build practical solutions with measurable operational impact. The environment is fast-paced, collaborative, and client-oriented, with exposure to complex enterprise data and modern AI technologies. This is a remote, full-time role in Canada with limited travel across Canada and the US.

Accountabilities:

• Engage directly with client teams through interviews, workshops, working sessions, and presentations to understand business needs, operational workflows, and technical challenges.
• Build trusted relationships with technical and non-technical stakeholders, adapting communication and solution recommendations to different audiences.
• Deploy, configure, customize, and enhance Palantir Foundry and AIP solutions using Python and TypeScript.
• Design and implement data pipelines, operational workflows, applications, and tools that translate complex enterprise data into actionable business outcomes.
• Analyze the intersection of business and technical challenges, investigate root causes, and develop creative solutions to mission-critical problems.
• Apply strong data engineering principles when working with complex, large-scale, and heterogeneous enterprise datasets.
• Support project planning, timelines, deliverables, prioritization, and coordination with internal and client-facing teams.
• Train end users and stakeholders on implemented solutions, ensuring effective adoption and long-term client success.
• Create clear technical and user-facing documentation to support enablement, maintenance, and continued use of delivered solutions.
• Contribute to solution design, technical discussions, and continuous improvement across delivery engagements.
• Stay adaptable in ambiguous and rapidly changing environments while maintaining focus on delivery quality and measurable client impact.
• Where applicable, contribute to production machine learning, LLM-based solutions, and frontend applications that extend the value of data-driven platforms.

Requirements

• Recent, hands-on professional experience with Palantir Foundry and/or AIP is required.
• Strong understanding of data engineering principles and experience working with complex enterprise data.
• Proficiency in Python and/or TypeScript, with the ability to develop practical production-oriented solutions.
• Experience with data manipulation technologies such as Pandas or Polars, and/or distributed computing frameworks such as Spark.
• Strong analytical and problem-solving abilities, with a demonstrated capacity to investigate issues beyond surface-level symptoms and identify root causes.
• Experience working directly with clients or stakeholders and comfort operating in client-facing environments, both remotely and on site.
• Ability to explain complex technical concepts clearly to non-technical audiences.
• Excellent written and verbal communication skills, with the ability to adapt communication style to client needs and preferences.
• Ability to operate effectively in fast-paced, ambiguous, and mission-critical environments.
• Strong collaboration skills and a mindset focused on creativity, continuous learning, and shared success.
• Post-secondary or master’s degree in Computer Science, Engineering, Mathematics, or a related discipline.
• Ability to travel approximately 5% within Canada and the United States without requiring visas or other travel documents that involve additional processing time.
• Experience delivering production machine learning and/or LLM-based solutions is preferred.
• Experience delivering production frontend applications using React is an advantage.
• Candidates who do not meet every listed qualification but demonstrate strong potential and relevant experience are encouraged to apply.

Benefits

• Competitive salary.
• Equity participation, providing an opportunity to share in organizational success.
• Retirement contribution program.
• Health benefits.
• Four weeks of vacation.
• Five personal days.
• Flexible work-from-home arrangement.
• Remote-first work environment.
• Opportunities for career advancement and professional growth within a dynamic and expanding organization.
• Exposure to complex enterprise data, AI-driven solutions, and high-impact client projects.
• Inclusive workplace committed to employment equity and representing the diversity of the communities served.
• Accessibility accommodations available throughout the recruitment process in accordance with applicable legislation.