Forward Deployed Engineer

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 United States.

• Client engagement: Build trusted relationships with client stakeholders, conduct interviews, facilitate workshops, understand operational workflows, and present clear solution recommendations.
• Solution development: Deploy, configure, and customize Palantir Foundry and AIP solutions using Python and TypeScript to address complex business and operational requirements.
• Technical problem solving: Investigate business and technical challenges at their root, work with complex enterprise data, and develop creative solutions that deliver measurable real-world outcomes.
• Data engineering: Design and support data pipelines, workflows, and tools that enable clients to make better use of their organizational data.
• Training and enablement: Train end users on implemented solutions and create clear documentation that supports adoption, usability, and long-term client success.
• Project delivery: Contribute to project planning, timelines, deliverables, prioritization, and internal coordination to ensure successful implementation.
• Cross-functional collaboration: Work closely with internal and client teams in a fast-paced environment, adapting solutions and communication styles to different stakeholders and requirements.
• Continuous improvement: Bring curiosity and creativity to each engagement, identifying opportunities to improve workflows, technology adoption, and operational performance.

• Professional experience: Demonstrated, recent hands-on experience with Palantir Foundry and/or AIP in real-world production or client environments.
• Education: Post-secondary or master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• Engineering skills: Strong understanding of data engineering principles and proficiency in Python and/or TypeScript.
• Data expertise: Experience working with complex enterprise data and data manipulation tools such as Pandas or Polars, and/or distributed computing frameworks such as Spark.
• Client-facing ability: Comfortable working directly with clients both remotely and onsite, with the ability to explain sophisticated technical concepts clearly to non-technical audiences.
• Problem solving: Strong analytical and root-cause problem-solving abilities, with the capacity to navigate ambiguity and deliver solutions in fast-paced, mission-critical environments.
• Communication: Excellent written and verbal communication skills, with the ability to adapt messaging to different client preferences, technical backgrounds, and business needs.
• Adaptability: Comfortable taking ownership in ambiguous situations, learning continuously, and adjusting priorities as project requirements evolve.
• Collaboration: Demonstrated ability to work effectively with diverse teams while bringing creativity, humility, and a collaborative mindset.
• Travel and work authorization: Able to travel within Canada and the United States approximately 5% of the time without requiring visas or other documents that involve processing delays.
• Preferred experience: Production experience delivering machine learning and/or LLM-based solutions, or building production frontend applications with React, is advantageous but not mandatory.

• Competitive salary.
• Equity participation, subject to applicable plan terms and eligibility.
• 401(k) plan with company matching.
• Medical, dental, and vision coverage.
• Four weeks of paid vacation.
• Sick leave in accordance with applicable state and local requirements.
• Flexible work-from-home environment.
• Opportunities for career advancement and professional development.
• Exposure to enterprise AI implementation, data engineering, and emerging technologies.
• Opportunity to work on high-impact client projects with meaningful operational outcomes.
• Inclusive and accessible recruitment process with reasonable accommodations available.