Forward Deployed AI Engineer-Palantir Foundry-Senior Associate

PwC is seeking a Forward Deployed AI Engineer specializing in Palantir Foundry at the Senior Associate level. This role is part of PwC's Data and Analytics Engineering team, focusing on leveraging advanced technologies to design and develop robust data solutions for clients. The position involves transforming raw data into actionable insights, enabling informed decision-making, and driving business growth.

The ideal candidate will be responsible for developing and implementing data solutions using Palantir Foundry, mentoring team members, and building meaningful client relationships. This role requires strong analytical abilities, problem-solving skills, and the capability to work both independently and collaboratively with internal and external teams.

Key aspects of the role include developing data pipelines, managing data integration, and implementing data transformation solutions. The position offers opportunities to work with cutting-edge AI technologies and large datasets, while also focusing on building and maintaining client relationships.

The role comes with comprehensive benefits including medical, dental, vision insurance, 401k, holiday pay, vacation time, and potential for annual discretionary bonuses. Compensation ranges from $84,000 to $202,000, based on skills, experience, and location.

This position requires up to 80% travel and offers significant growth opportunities within PwC's global professional services network. The ideal candidate will have certifications in Foundry Data Engineering, Solution Architecture, and Application Development, along with experience in Python and TypeScript.

Join PwC to be part of a team that's transforming how businesses leverage data and AI, while working with diverse technical teams and building solutions that drive real business impact. This role offers a perfect blend of technical expertise and client relationship management, making it an excellent opportunity for professionals looking to advance their careers in AI and data engineering.