Cognizant Technology Solutions - Dallas, TX

posted 19 days ago

Full-time - Senior
Remote - Dallas, TX
Professional, Scientific, and Technical Services

About the position

The Palantir Lead Data Engineer role at Cognizant focuses on leveraging advanced AI and data analytics to enhance business processes and decision-making. The position requires extensive experience with Palantir Foundry and involves working directly with clients to develop and implement AI-driven applications. The engineer will be responsible for creating efficient data architectures, integrating data sources, and delivering production solutions that utilize advanced prediction models and machine learning techniques.

Responsibilities

  • Work directly with clients to define and document data requirements for integration and business intelligence applications.
  • Deliver Palantir AIP models and applications according to Gen AI use cases, incorporating advanced prediction models or agentic AI blueprints.
  • Analyze data and data pipelines to identify trends and areas for improvement in product quality and customer service.
  • Create plans to decommission network elements without affecting network capability and manage the removal of elements from offices.
  • Enable third-party integrations that require network and proprietary knowledge to write logic and create programs for decommissioning legacy applications.
  • Document the capabilities of Palantir Foundry for new use cases enabled by enhancements to the ontology.
  • Build full-stack use cases from concept to production application using DEEP Palantir Foundry features.

Requirements

  • 10 to 15 years of experience in data engineering and analytics.
  • Proven experience with Palantir AI Architect and Palantir Foundry.
  • Strong coding experience in programming languages such as Python, Java, TypeScript, or JavaScript.
  • Ability to deliver production solutions with Gen AI data processing pipelines and advanced analytics tools.
  • Strong foundation in machine learning basics, evaluation, training, and problem decomposition.

Nice-to-haves

  • Experience with large language models (LLMs) and traditional machine learning models.
  • Familiarity with workflow automation and orchestration on Palantir Foundry.

Benefits

  • Medical, Dental, and Vision Insurance
  • Paid holidays plus Paid Time Off
  • Long-term and Short-term Disability
  • Employee Stock Purchase Plan
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