Forward Deployed Engineer - Fast Forward

About the role

Moder is an AI-enabled, human-powered digital services company built for mortgage, insurance, and financial services. We meet clients where they are, tackle the toughest industry challenges, and build solutions that hold up in production environments where the stakes are real. Our partnership with Palantir brings Foundry and AIP to clients who need to move from AI experimentation to operational reality. We have served clients across the full mortgage lifecycle, from origination through capital markets and are now expanding that same operational depth into insurance and broader financial services.

Responsibilities

• Work on active Palantir Foundry deployments alongside senior FDEs, owning defined scopes within real client engagements — not sandbox projects.
• Build data pipelines, ontology structures, and workflow automations in Foundry's Pipeline Builder and Workshop — moving from supported execution to independent delivery as your confidence builds.
• Rewire real, complex financial services datasets: cleaning, transforming, integrating, and making them usable inside Palantir's ontology layer.
• Develop hands-on proficiency in Foundry's core tools: Pipeline Builder, Workshop, Ontology Manager, Code Repositories, and AIP.
• Contribute to architecture and technical design discussions — your perspective as someone newer to the platform is genuinely valuable, not just tolerated.
• Develop the ability to translate technical realities into business language across a range of audiences, from data analysts to C-suite executives.
• Represent Moder in-person at client locations when travel is required, carrying the kind of credibility that comes from actually knowing the work.

Requirements

• Recent graduate (undergraduate or graduate) with a degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, or a related technical field.
• Programming ability in Python — you write it independently, not just read it.
• Working SQL proficiency for querying and exploring datasets; comfort working with structured data at meaningful scale.
• A highly analytical mindset: you break problems down, find the data that matters, and build a structured case for what to do — rather than waiting for direction.
• A highly curious mindset: you ask questions others skip past, investigate the edges of problems, and are never fully satisfied with 'it works.'
• Clear communication in writing and in conversation, to both technical and non-technical audiences.

Qualifications

• Comfort with ambiguity and open-ended environments where what you need to do is discovered through engagement, not handed down in a spec.
• Ability to commute to and work from Philadelphia at least three days per week.
• Coursework, projects, or research involving data engineering, machine learning, enterprise data platforms, or applied AI.
• Foundry experience is rare at this level — curiosity and technical aptitude matter far more.
• Exposure to AI/ML concepts including LLMs, retrieval-augmented generation, or agentic systems — enough to understand why they matter in an enterprise context.
• Prior experience in a client-facing, consulting, or applied research capacity — you have translated between technical work and a non-technical audience before.
• Familiarity with cloud environments (AWS, Azure, or GCP) at any level.

Benefits

The FDE Fast Forward Program is an explicit entry point to the FDE career path. Strong performance converts directly to an Associate FDE offer. The path beyond that is clear and merit-based: FDE → Associate FDE → FDE → Senior FDE → Principal FDE. Your advancement is tied to what you deliver, not how long you wait. The best FDEs at Moder shape what we build next.

Pay

Competitive salary and benefits package.

Schedule

Full-time, structured launch pad for recent graduates who want to do more than start a career.