Forward Deployed AI Engineer Palantir Foundry Senior Associate

Job description

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others.

Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths.

You are expected to anticipate the needs of your teams and clients, and to deliver quality.

Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

+ Respond effectively to the diverse perspectives, needs, and feelings of others.
+ Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
+ Use critical thinking to break down complex concepts.
+ Understand the broader objectives of your project or role and how your work fits into the overall strategy.
+ Develop a deeper understanding of the business context and how it is changing.
+ Use reflection to develop self awareness, enhance strengths and address development areas.
+ Interpret data to inform insights and recommendations.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics Engineering team you engage in developing and deploying data solutions using Palantir Foundry.

As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity.

This role requires analytical abilities, problem-solving skills, and the ability to work independently and collaboratively with both internal and external teams.

Responsibilities

- Develop and implement data solutions utilizing Palantir Foundry

- Mentor team members to enhance their skills and knowledge

- Build and nurture meaningful client relationships

- Navigate and manage ambiguous situations with confidence

- Collaborate with internal and external teams to achieve objectives

- Apply analytical and problem-solving skills in various contexts

What You Must Have

- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics

- 3 years of experience

What Sets You Apart

- Foundry Data Engineer certification preferred

- Foundry Solution Architect certification preferred

- Foundry Application Developer certification preferred

- Delivering production enterprise AI solutions

- Collaborating with diverse technical teams

- Building applications with large datasets

- Familiarity with Python and Typescript

- Experience with Palantir Foundry and AIP

- Strength in analytical abilities and problem-solving aptitude

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.



For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.

At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members.

We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage.

Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus.

For roles that are based in Maryland, this is the listed salary range for this position.

Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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