Manager - Foundry/AIP Forward Deployed Engineer

Andersen Consulting offers a multidimensional approach combining expertise in business transformation, artificial intelligence, cybersecurity, sustainability, and digital strategy with established tax and legal capabilities, positioning itself as a leader in the $1 trillion consulting industry.

About the role

Andersen Consulting is building a Palantir practice to compete with the largest system integrators globally. The practice will deploy Foundry and AIP across financial services, healthcare, supply chain, and manufacturing at enterprise scale. Managers joining at this stage will architect the practice, defining how Andersen designs Foundry Ontologies, structures AIP agent deployments, and operationalizes decision intelligence for clients. You will also use Foundry and AIP internally to shape the reference architecture for future engagements.

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 ambiguous business problems into Foundry delivery scopes, advocating for designs that match how users make decisions.
• Define delivery standards for the practice: author Ontology design guidelines, AIP agent patterns, workshop architecture principles, and code quality standards.
• Mentor junior FDEs through code review, architecture walkthroughs, and embedded coaching on client engagements.

What You'll Build

• Enterprise Ontology architectures: multi-domain object models linking financial, operational, and clinical data across 10+ source systems, with governance frameworks clients can extend post-engagement.
• Production AIP agent deployments: agents running in client environments against live Ontology data, with tool registries, memory configurations, and monitoring pipelines in place at launch.
• AIP Logic evaluation frameworks: structured test harnesses that validate LLM reasoning steps against labeled Ontology objects before any output surfaces to an operator or decision workflow.
• Workshop decision intelligence centers: operational applications wired to live Ontology objects, with action types that complete closed-loop workflows (approve, flag, escalate, route) and configurable user role logic.
• Practice accelerators: reusable Ontology templates, Pipeline Builder patterns, and AIP agent scaffolding that compress new engagement ramp time by 40%+ compared to a cold start.
• Internal capability assets: architecture decision records and delivery playbooks that encode best practices across engagements and translate into competitive advantage.

Requirements

• 5+ years of production Foundry experience, including owning Ontology architecture, designing multi-source pipeline systems, and shipping Workshop applications clients depend on for daily 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, including AIP Logic chains and AIP agent deployments outside of sandbox environments.
• Proven ability to break down large, ambiguous business problems into concrete Ontology and application designs.
• Fluency with messy organizational data: overlapping source systems, inconsistent entity identifiers, conflicting data owners, and building governance structures that survive post-engagement.
• Production Python and SQL that other engineers inherit, with documented design decisions and shared transforms structured for reuse.
• Client-facing technical leadership: experience running requirements workshops, managing technical relationships with client engineers and architects, and presenting architecture decisions to mixed audiences.
• Engineering judgment under ambiguity: making decisions with 70% information, documenting assumptions, and knowing when to escalate vs. unblock.

Preferred Qualifications

• 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.

Pay

For individuals hired to work in New York, the expected salary range for this role is $195,875 - $266,171. Actual compensation will be determined based on the candidate’s qualifications, experience, and skill set.

Benefits

• Medical, dental, vision, and basic life insurance coverage for employees and their families.
• Enrollment in the firm’s 401(k) plan upon hire.
• 200 hours of paid time off annually, plus twelve paid holidays each calendar year.

For a full listing of benefit offerings, visit https://www.andersen.com/careers.