Forward Deployed Engineer Fellowship

Moder•Conshohocken, PA

42d•Hybrid

About The Position

Moder is building its first cohort of Forward Deployment Engineers (FDEs) through a structured fellowship program designed for recent graduates. This full-time program aims to launch careers by involving fellows in building solutions, deploying on live client engagements, and stress-testing training curricula. Fellows will contribute to real problems within financial institutions, working with complex data and legacy systems, and gaining hands-on experience with AI deployment. The program emphasizes a blend of technical and client-facing skills, with a clear career path from Fellow to Principal FDE, driven by performance and impact.

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 (independent writing, not just reading).
Experience with data manipulation, API calls, scripting, and understanding data movement between systems.
Working SQL proficiency for querying and exploring datasets.
A highly analytical mindset: ability to break down problems, find relevant data, and build a structured case for action.
High degree of intellectual curiosity and inquisitiveness.
Clear communication in writing and conversation, to both technical and non-technical audiences.
Comfort with ambiguity and open-ended environments.
Ability to commute to and work from Philadelphia at least three days per week.

Nice To Haves

Coursework, projects, or research involving data engineering, machine learning, enterprise data platforms, or applied AI.
Any exposure to AI/ML concepts including LLMs, retrieval-augmented generation, or agentic systems.
Prior experience in a client-facing, consulting, or applied research capacity.
Background or coursework in financial services, mortgage, insurance, or a regulated industry.
Familiarity with cloud environments (AWS, Azure, or GCP) at any level.

Responsibilities

Work on active Palantir Foundry deployments alongside senior FDEs, owning defined scopes within real client engagements.
Build data pipelines, ontology structures, and workflow automations in Foundry's Pipeline Builder and Workshop.
Wrangle, clean, transform, and integrate complex financial services datasets.
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.
Build working familiarity with AI and LLM-driven workflows through Palantir AIP.
Participate in client-facing sessions, including discovery meetings, technical reviews, and status updates.
Support training and handoff sessions for client teams.
Develop the ability to translate technical realities into business language for various audiences.
Represent Moder in-person at client locations when travel is required.
Participate actively in Moder Academy, providing feedback on the onboarding program.
Maintain a structured learning log to capture client patterns, platform observations, and deployment insights.
Complete a capstone project and present it to Moder leadership.
Provide formal feedback at structured checkpoints to improve the program for future cohorts.
Perform other related duties as assigned.
Comply with all company policies and procedures.
Maintain regular and punctual attendance.