Manager - Foundry/AIP Forward Deployed Engineer

Andersen•Chicago, IL

33d•Onsite

About The Position

Andersen Consulting is establishing a Palantir practice to rival major system integrators. This practice will focus on deploying Foundry and AIP across various industries like financial services, healthcare, supply chain, and manufacturing for global clients. Managers joining at this early stage will be instrumental in architecting this practice, defining how Foundry Ontologies are designed, AIP agent deployments are structured, and decision intelligence is operationalized for clients. The role involves both client-facing work and internal application of Foundry and AIP to drive data and AI transformation within Andersen Consulting. Senior engineers will shape the reference architecture for future engagements.

Requirements

5+ years of production Foundry experience, including ownership of Ontology architecture, design of multi-source pipeline systems, and shipping Workshop applications for daily client operations.
Deep Foundry data layer expertise: Transforms (PySpark, Polars, and SQL), Pipeline Builder topology design, Object Storage partitioning strategies, Ontology branch management, and observable data quality patterns.
Demonstrated AIP delivery in production (AIP Logic chains and AIP agent deployments outside of sandbox), with the ability to articulate tradeoffs between agent architectures and choose appropriate methods (function-backed objects vs. direct LLM calls).
Proven ability to break down large, ambiguous business problems into concrete Ontology and application designs, identifying what belongs in the Ontology, action types, and Logic functions.
Fluency with messy organizational data (overlapping source systems, inconsistent entity identifiers, conflicting data owners) and experience building post-engagement governance structures.
Production Python and SQL code that is maintainable, documented, and structured for reuse.
Client-facing technical leadership, including running requirements workshops, managing technical relationships with client engineers and architects, and presenting architecture decisions to mixed audiences.
Engineering judgment under ambiguity, with the ability to make decisions with incomplete information, document assumptions, and know when to escalate or unblock.

Nice To Haves

Domain depth in financial services (insurance, reinsurance, risk), healthcare (claims, clinical operations, population health), supply chain, or discrete manufacturing.
Experience with Contour for exploratory Ontology analysis or Slate for custom embedded applications in legacy enterprise environments.
Palantir Foundry or AIP certification at associate or professional level.
Experience standing up Foundry in greenfield environments, including Data Connection source configuration and codec development.
Familiarity with MLflow, PyTorch, or other ML tooling integrated into Foundry Code Repositories for model training and deployment workflows.
Track record leading cross-functional delivery programs with 3+ engineering contributors.

Responsibilities

Operate as the primary technical owner on complex engagements, from scoping through production handoff.
Lead Foundry Ontology design across multi-source enterprise environments, defining object type hierarchies, link type semantics, property type governance, and branch strategies for production data models.
Architect end-to-end pipeline systems from raw ingestion through semantic layer, connecting 10+ source systems with observable data quality and documented lineage using Transforms and Pipeline Builder.
Own AIP deployments: design agent architectures in AIP Agent Studio, configure tool registries backed by Foundry functions, and build evaluation harnesses that validate LLM reasoning before any agent touches a production workflow.
Design and ship AIP Logic chains: multi-step reasoning workflows grounded on Ontology objects, with structured outputs, action types, and writeback patterns that close the loop from insight to operation.
Drive client-facing technical discovery: lead workshops that map operational processes to Foundry Ontology models, surface integration constraints, and produce architecture decision records that hold up in production review.
Translate big, ambiguous business problems into Foundry delivery scopes, pushing back on technically solvable but operationally meaningless requirements and advocating for designs that match user decision-making processes.
Define delivery standards for the practice: author Ontology design guidelines, AIP agent patterns, Workshop architecture principles, and code quality standards for junior engineers.
Mentor junior FDEs through code review, architecture walkthroughs, and embedded coaching on client engagements.