Palantir Forward Deployed Senior Engineer

Accenture•Chicago, IL

17h•Hybrid

About The Position

The Accenture Palantir Business Group (APBG) is a global business group within Accenture that combines Accenture’s industry, data, and AI expertise with Palantir’s Foundry and Artificial Intelligence Platform (AIP) to help organizations scale AI and transform decision‑making. Formed in 2025 as part of Accenture’s expanded strategic partnership with Palantir, APBG serves as a center of excellence delivering Palantir‑enabled solutions across industries such as government, healthcare, energy, financial services, and manufacturing. The group accelerates enterprise reinvention by integrating consulting, engineering, and global delivery capabilities to move clients from siloed data to integrated, AI‑driven decision intelligence. As a Forward Deployed Engineer, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations. You will work as part of a small team of engineers, domain experts, and other Deployment Strategists to turn a client’s vision into reality by deploying Palantir software and building tailored solutions that make a measurable impact on their operations. In this role, you will iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You will not just be deploying software; you will help reshape how entire organizations function by providing powerful tools to those who can drive change.

Requirements

Client success mindset : Own the outcome, go beyond the stated scope when needed, and consistently deliver value for the customer.
Structured problem solving : Break down ambiguous problems, identify constraints, and design end-to-end solutions.
Software + data engineering fundamentals : Write production code (e.g., Python, TypeScript) and build applications on large structured and unstructured datasets.
Bias for ownership : Work independently, drive decisions, and be accountable for results.
Track record of delivery : Ship software/analytics that produces measurable, real-world outcomes.
Collaboration and client-facing communication : Work effectively with teammates and clients across technical levels; embed with customer teams when required.
Minimum of 5 years hands-on experience in data engineering, including ETL/ELT pipelines, data warehousing, and large-scale data integration.
Minimum of 3 years' experience with Palantir Foundry building data pipelines, managing datasets, and deploying applications within Palantir Foundry and or Palantir Gotham
Minimum of 3 years experience prompt engineering and applied AI techniques within Palantir (AIP, model deployment, feature engineering)
Minimum of 5 years working with cloud platforms (AWS, Azure, or GCP)
Minimum of 5 years experience in Python, PySpark, and Java
Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. If Associate’s Degree, must have minimum 8 years work experience
Ability to be a personable communicator who can explain technical concepts clearly and credibly to executive stakeholders.
Ability to build rapport quickly and represented teams professionally with clients
Write clear, concise documentation (requirements, design notes, runbooks) for technical and non-technical audiences
Present updates, trade offs, and recommendations to executives; tailor the message to the audience

Nice To Haves

Full stack and front-end development experience
Palantir certifications (Foundry, Gotham, or AIP)
Consulting or client-facing experience
Experience with DevOps / CI-CD pipelines (Git, GitHub/GitLab, Jenkins)
Experience building solutions with large language models
Demonstrated proficiency in TypeScript, or JavaScript

Responsibilities

Work with cross-functional teams : Partner with engineers, program managers, and domain specialists to design, build, and support client-facing applications.
Translate objectives into a delivery plan : Gather requirements, analyze data and workflows, and define a roadmap from prototype to scaled deployment.
Prototype and iterate quickly : Build from scratch when needed, validate with users, and iterate rapidly based on feedback and operational results.
Deliver production-grade solutions : Ship reliable pipelines and applications that turn client data into operational workflows and decision support.
Align and communicate : Write clear requirements, share progress with technical and non-technical stakeholders, and drive work to release.