Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
RA
Field Marketing Lead
Refold AI
San Francisco, CA
- $100,000 to $150,000 USD / year
- Make it repeatable: Turn what works into a run-of-show, a budget model, and a calendar the team can execute without you in every room
Added 2 mins ago
G
Senior Director, Content Studio and Digital Operations
Genentech
South San Francisco, CA
- $203,500 to $377,900 USD / year
…the studio strategy to increase self reliance, implement a model that scales globally, manage large multidisciplinary teams and…
Added 2 mins ago
A
Senior Director, Delivery Cell Therapy
AstraZeneca
Gaithersburg, MD · Gaithersburg
- $170,456.8 to $255,685.2 USD / year
Added 2 mins ago
Outpatient Orthopedic Physical Therapist
Intermountain Medical Group Denver LLC
United States
…patient experience and all aspects of the Intermountain Operating Model. Participates in utilization review…
Added 3 mins ago
Enterprise Operating Model Manager, Energy
Accenture
St. Louis, MO
Accenture's Enterprise Operating Model practice. We partner with Boards, CEOs, and other C-Suite Leaders to co-create their future ways of working, based on their unique business and growth…
Added 3 mins ago
A
RCAL Private Equity Client Account Lead
Accenture
St. Louis, MO
- $132,500 to $338,300 USD / year
Ability to build understanding of PE value creation levers (deal lifecycle, carve‑outs, bolt‑ons, exits, operating model changes)
Added 3 mins ago
Organization Change Senior Manager, Software & Platforms or High Tech Industry
Accenture
St. Louis, MO
…operate and lead effectively in human + digital teams. You model how AI is used in the flow of work, coach others to build confidence and capability, and help teams deliver high-impact…
Added 3 mins ago
HR Reinvention Consulting Sr. Manager, High Tech, Comms & Media or Software & Platforms
Accenture
St. Louis, MO
HR Operating Model and Service Delivery Framework
Added 3 mins ago
HR Reinvention Consulting Manager, High Tech Industry
Accenture
St. Louis, MO
HR Operating Model and Service Delivery Framework
Added 3 mins ago
Client Relationship Manager within Global Workplace Programs
The Cigna Group
St. Louis, MO
…individual GWP functions. This aligns with GWP’s emerging operating model, which connects portfolio strategy, transactions, design, project delivery, facilities management, and…
Added 3 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Jefferson City, MO
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 3 mins ago
Associate VP, IT Procurement & Supplier Management
Humana
Jefferson City, MO
…application rationalization, labor productivity, commercial-model redesign, contractual value recovery, working capital, risk reduction and supplier…
Added 3 mins ago
Sr Lead Product Manager Product Insights + Enablement
Lumen
Jefferson City, MO
Design, build, refine, and maintain AI agents that support Product Managers across the Product Management Operating Model including PRD drafting requirements analysis roadmap synthesis…
Added 3 mins ago
Tester (Remote)
GovCIO
Jefferson City, MO
…non-deterministic output using measurable thresholds that separate model variance from real…
Added 3 mins ago
C
ServiceNow AICT Solution Architect
Cognizant
Jefferson City, MO
- $100,000 to $117,000 USD / year
Added 3 mins ago
Security Engineer
Meta
Jefferson City, MO
Demonstrated knowledge of iOS or Android security model
Added 3 mins ago
C
ServiceNow Integration / Data Architect
Cognizant
Jefferson City, MO
- $100,000 to $117,000 USD / year
· Strong knowledge of the Common Service Data Model (CSDM), CMDB, identification rules, and duplicate prevention
Added 3 mins ago
Lead Forward Deployed Engineer, Palantir
Deloitte
St. Louis, MO · Kansas City, MO
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
Added 3 mins ago
Agentic AI Engineer, Senior
Deloitte
St. Louis, MO · Kansas City, MO
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines…
Added 3 mins ago
Lead Forward Deployed Engineer, ServiceNow
Deloitte
St. Louis, MO · Kansas City, MO
Added 3 mins ago
Senior Forward Deployed Engineer, ServiceNow
Deloitte
St. Louis, MO · Kansas City, MO
Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
Added 3 mins ago
Forward Deployed Engineer- ServiceNow
Deloitte
St. Louis, MO · Kansas City, MO
Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
Added 3 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Kansas City, MO · St. Louis, MO
Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude…
Added 4 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Kansas City, MO · St. Louis, MO
Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude…
Added 4 mins ago
Salesforce Life Sciences Senior Consultant
Deloitte
St. Louis, MO · Kansas City, MO
Supporting the design and delivery of sales and service transformation initiatives across strategy, process, technology, and operating model workstreams

Closed listing

Deloitte

Lead Forward Deployed Engineer, Palantir

Milwaukee, WI, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Posting language: English
Posted: May 27, 2026

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Lead Palantir FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
Mentor and develop junior FDEs

GenAI Solution Development

Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

Review and contribute to production-quality code
Guide architecture of data pipelines powering GenAI use cases
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering
7+ years of experience in software engineering, data engineering, data science, or analytics engineering
1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
1+ years of experience with Palantir including hands-on experience with one of the following key platforms; Foundry, AIP, Maven
1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
1+ years of experience building reliable, maintainable, and well-documented code
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Preferred qualifications

Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
Experience operating within hybrid onshore/offshore teams
Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 to $372,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

About employer

More about this job

Skills

Problem solving
Debugging
Leadership
Communication skills
Risk management
Data management
CI/CD
Documentation
AWS
Microsoft Azure
Google Cloud
Computer science
Data engineering
Apache Maven
Identity and access management
Apache Spark
Apache Airflow
dbt
Data modelling
ML
Microservices

Report this job