Application Notice
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The Role
Andersen Consulting is building a Palantir practice capable of competing with the largest system integrators on the planet. The practice will deploy Foundry and AIP across financial services, healthcare, supply chain, and manufacturing at enterprise scale, across global clients, starting now.
The Managers who join at this stage will architect that practice, not just deliver within it. You will define how Andersen designs Foundry Ontologies, structures AIP agent deployments, and operationalizes decision intelligence for clients who have never seen it work before. That is a different problem from being the tenth Palantir hire at a firm that already has the playbook written.
In addition to client facing work, you'll use Foundry and AIP internally across Andersen. Foundry and AIP sit at the center of how this firm delivers data and AI transformation. Senior engineers who join now shape the reference architecture every future engagement inherits.
You'll work within Andersen Consulting's global AI practice, accountable for delivering measurable value to clients-both internally and externally-through data.
What You'll DoYou 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. You push back on requirements that are technically solvable but operationally meaningless, and you advocate for designs that match how users actually make decisions.
- Define delivery standards for the practice: author Ontology design guidelines, AIP agent patterns, Workshop architecture principles, and code quality standards junior engineers follow on every engagement.
- 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 what works across engagements and translate into competitive advantage on the next proposal.
The Requirements
- 5+ years of production Foundry experience. You have owned Ontology architecture, designed multi-source pipeline systems, and shipped 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; AIP Logic chains and AIP agent deployments outside of sandbox. You can articulate tradeoffs between agent architectures and know when to use function-backed objects vs. direct LLM calls.
- Proven ability to break down large, ambiguous business problems into concrete Ontology and application designs. You can walk into a client's operations and identify what belongs in the Ontology, what belongs in an action type, and what belongs in a Logic function.
- Fluency with messy organizational data: overlapping source systems, inconsistent entity identifiers, conflicting data owners. You have built governance structures that survive post-engagement, not just demos that look clean.
- Production Python and SQL that other engineers inherit: code with the next maintainer in mind, documented design decisions, shared transforms structured for reuse.
- Client-facing technical leadership; you have run requirements workshops, managed technical relationships with client engineers and architects, and presented architecture decisions to mixed technical and executive audiences.
- Engineering judgment under ambiguity; you make decisions with 70% information, document your assumptions, and know 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.
Compensation and BenefitsOur firm offers a competitive base salary and comprehensive benefits package designed to support the well-being, growth, and long-term success of our people. We are committed to recognizing individual contributions and providing resources that enable our employees to thrive both personally and professionally.
Salary Range: For individuals hired to work in San Francisco, 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: Employees (and their families) are eligible for medical, dental, vision, and basic life insurance coverage. Employees may enroll in the firm's 401(k) plan upon hire. We offer 200 hours of paid time off annually, along with twelve paid holidays each calendar year. For a full listing of benefit offerings, please visit https://www.andersen.com/careers.
Applicants must be currently authorized to work in the United States on a full-time basis upon hire. Andersen will not consider candidates for this position who require sponsorship for employment visa status now or in the future (e.g., H-1B status).
