Manager - Foundry​/AIP Forward Deployed Engineer

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.

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.

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.

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.

• 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.

• 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…