Senior Foundry/AIP Engineer — Forward-Deployed AI

Andersen; San Francisco (CA); On-site; USD 142,200 - 202,700; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan

Paid time off 160 hours annually

12 paid holidays

Job summary

Andersen is seeking Senior Associate Engineers to join its Palantir practice, delivering Foundry and AIP solutions across financial services, healthcare, supply chain, and manufacturing. You will build data pipelines, surface data with Workshop apps, and shape record‑level ontology designed for enterprise clients.

You will collaborate with clients and internal teams, develop production‑quality Python/SQL, and contribute to reusable accelerators and templates that become firm IP.

Qualifications

• 3+ years of production Foundry experience and shipped Ontologies, pipelines, and Workshop applications.
• Proficiency in Foundry's data layer: Pipeline Builder, Transforms (PySpark, Polars, SQL), Object Storage, Ontology design.
• Working knowledge of AIP Logic; at least one prompt chain grounded on Ontology objects.
• Production‑quality Python; know when to use Polars vs. PySpark and why.
• Ability to break down ambiguous business problems into Foundry‑solvable components.
• Comfort with organizational data realities: inconsistent identifiers and conflicting definitions.
• Data literacy to read schemas and ask targeted questions.

Responsibilities

• Build and maintain Foundry data pipelines and ingest from multiple sources into Ontology.
• Develop Workshop applications surface operational data to business users.
• Instrument AIP Logic workflows with measurable pass/fail criteria.
• Contribute to AIP Agent builds: scoping tasks and wiring tool calls.
• Write production‑quality Python and SQL with unit tests.
• Engage with users in deskside sessions to identify decision points.
• Participate in client discovery to surface data availability and gaps.
• Create reusable accelerators and workshop components for future engagements.

Skills

Foundry

Pipeline Builder

Transforms

PySpark

Polars

SQL

Ontology design

AIP Logic

Python

Data literacy

Tools

Contour

Slate

AIP Agent Studio

Foundry Code Repositories

Job description

Application Notice

We encourage you to apply thoughtfully by selecting one position that best matches your qualifications and interests. You may submit up to two active applications at a time. Please consider your location choice carefully—we recommend applying where you envision building your future.

The Firm

A New Era of AI-Driven, Multidimensional Consulting

Today’s businesses face complex global challenges that demand more than conventional consulting services. Andersen Consulting offers a seamless, multidimensional approach that combines expertise in business transformation, artificial intelligence, cybersecurity, sustainability, and digital strategy with Andersen Global’s established tax and legal capabilities. This integration of emerging technologies positions Andersen Consulting as the partner of choice in the $1 trillion consulting industry.

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 Senior Associate Engineers who join at this stage will deliver within the practice. 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 Do

Day-to-day, you embed directly with client teams and own a defined technical workstream end to end:

• Build and maintain Foundry data pipelines in Pipeline Builder and Transforms, ingesting from structured, semi-structured, and API sources, handling schema drift, and pushing clean objects into the Ontology.
• Develop Workshop applications that surface operational data to business users: configuring widgets, wiring function-backed objects, and building action types that write back to source systems.
• Instrument AIP Logic workflows: prompting, chaining, and evaluating LLM-backed logic steps grounded in Ontology objects, with measurable pass/fail criteria before anything touches production.
• Contribute to AIP Agent builds: scoping agent tasks, wiring tool calls to Foundry functions, and testing failure modes against real client data in AIP Agent Studio.
• Write production-quality Python and SQL in Code Workbook and Code Repositories: shared transforms with unit tests that teammates can extend, not one-off notebooks.
• Sit with users. Run deskside sessions. Identify the actual decision points operators face before you write a single widget. Your designs should target what someone needs to approve, escalate, or prioritize, not just display.
• Participate in client discovery sessions to surface data availability and business process gaps before they become mid-engagement blockers.
• Build internal accelerators on bench time: reusable pipeline templates, Ontology design patterns, Workshop component libraries that become practice IP.
  
  

What You'll Build

• Ontology schemas: object type definitions, link types, and property type governance for client datasets across insurance, manufacturing, or healthcare domains.
• Pipeline architectures: end-to-end raw to bronze to silver to gold data models using Foundry Transforms, with documented lineage and observable data quality checks.
• AIP Logic modules: prompt-chained reasoning workflows grounded on Ontology objects, tested against structured evaluation sets before client demo.
• Workshop operations centers: dashboards wired to live Ontology objects, with writeback action types that update upstream systems and close decision loops.
• Notepad reports: automated narrative outputs that surface model results and pipeline summaries to non-technical stakeholders.
• Reusable accelerators: generalized pipeline templates and Workshop component patterns the practice deploys on future engagements without rebuilding from zero.
  
  

The Requirements

• 3+ years of production Foundry experience. You have shipped Ontologies, pipelines, and Workshop applications that real users depend on.
• Proficiency in Foundry's data layer: Pipeline Builder, Transforms (PySpark, Polars, and SQL), Object Storage, and Ontology design including link types and property type taxonomy.
• Working knowledge of AIP Logic; at least one prompt chain grounded on Ontology objects in production. You understand how action types surface to end users.
• Production-quality Python: write code that passes review, not just code that runs. You know when to use Polars vs. PySpark and why.
• Ability to break down ambiguous business problems into Foundry-solvable components. You translate a messy process into object types, properties, and action types before writing code.
• Comfort with organizational data as it actually exists: inconsistent identifiers, overlapping source systems, conflicting definitions.
• Data literacy as a client skill. You read a schema and ask sharp questions about it.
• Comfort with ambiguity; clarify rather than assume and flag blockers before they compound.
  
  

Preferred Qualifications

• Domain exposure in financial services (insurance, reinsurance, credit), healthcare (claims, clinical ops), supply chain, or manufacturing.
• Experience with Contour for exploratory analysis or Slate for custom embedded applications.
• Familiarity with AIP Agent Studio: scoping agent tools, configuring memory, reviewing agent reasoning traces.
• Palantir Foundry certification(s).
• Experience presenting technical decisions to non-technical business stakeholders.
• Git-based version control workflows in Foundry Code Repositories.
  
  

Compensation And Benefits

Our 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 $142,200 to $202,700. 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 160 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).

Andersen Tax is an equal opportunity employer committed to fostering an inclusive workplace. We evaluate all applicants and employees without regard to race, color, religion, national origin, ancestry, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. All qualified applicants, including those with criminal histories, will be considered in a manner consistent with applicable law. We provide reasonable accommodations to qualified individuals with disabilities and to individuals with sincerely held religious beliefs, practices, or observances as required by law.

ANDERSEN TAX LLC NOTICE FOR JOB APPLICANTS