Forward Deployed Engineer- Palantir

Deloitte France; Los Angeles (CA); Vor Ort; USD 135.000 - 265.000; Vollzeit

Zusammenfassung

Deloitte seeks a Palantir Forward Deployed Engineer (FDE) in Los Angeles to rapidly prototype and deliver GenAI-enabled solutions for enterprise clients, blending software engineering with client-facing delivery.

You will embed with client teams to translate business needs into AI use cases, mentor junior staff, and contribute reusable code, prompts, and playbooks while traveling up to 50%.

Qualifikationen

• Bachelor's degree in Computer Science, Data Science or Engineering is required.
• 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years of hands-on GenAI/LLM-powered solutions in client or production environments.
• 1+ years of experience with Palantir platforms (Foundry/AIP/Maven).
• 1+ years of leading project workstreams and translating business problems into AI solutions.
• 1+ years of building reliable, maintainable code.
• Ability to travel ~50% depending on client engagements.
• Limited immigration sponsorship may be available.

Aufgaben

• Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
• Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
• Lead working sessions to shape solutions and drive client outcomes.
• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
• Contribute independently within an FDE pod while mentoring newer team members.
• Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
• Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
• Apply architecture decisions balancing quality, safety, latency, cost, and model risk.
• Deliver production-quality code with strong testing, CI/CD, logging, versioning, and documentation.
• Design extensible functionality, support sprint sizing, and align solutions with senior team members.
• Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Kenntnisse

Software engineering

Data engineering

Data science

Analytics engineering

GenAI/LLM solutions

Project leadership

Client engagement

Ausbildung

Bachelor's degree in Computer Science, Data Science or Engineering

Tools

Palantir Foundry/AIP/Maven

Cloud platforms (AWS/Azure/Google Cloud)

CI/CD tooling

Jobbeschreibung

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 Palantir FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

• Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

• Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

• Lead working sessions to shape solutions and drive client outcomes.

• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

• Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

• Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.

• Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.

• Apply architecture decisions that balance quality, safety, latency, cost, and model risk.

• Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.

• Design extensible functionality, support sprint sizing, and align solutions with senior team members.

• Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

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.

• 3+ 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/products; 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 $134,500-$265,100.

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.