Palantir Subject Matter Expert

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apar Technologies, is seeking the following. Apply via Dice today! Job Title: Subject Matter Expert (SME) / Technical Expert - Ex-Palantir or Google or Microsoft Location: Richardson, TX (Hybrid/Onsite) Job Type: Open for both Contract/Full Time Minimum Exp: 9+ Years Rate/Salary: Depending on Experience Experience: 8+ years in technology, data engineering, or AI systems with proven experience at Palantir, Google, or equivalent top-tier technology companies About The Role We are seeking a Subject Matter Expert (SME) or Technical Expert with deep experience in building and scaling data-driven and AI-based systems - ideally with prior tenure at Palantir, Google, or comparable global tech innovators. The ideal candidate will combine hands-on technical expertise with strategic vision to drive the architecture, deployment, and optimization of next-generation AI and data platforms, including agentic AI solutions. Key Responsibilities • Architect and lead the design of scalable data and AI platforms, ensuring performance, reliability, and security across distributed systems. • Develop and deploy agentic AI solutions - autonomous or semi-autonomous systems capable of reasoning, decision-making, and adaptive task execution. • Provide thought leadership in data architecture, analytics, and AI system design, shaping organizational AI strategies. • Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end intelligent systems. • Evaluate and integrate cutting-edge tools such as Palantir Foundry, Google Cloud Platform (Google Cloud Platform), Vertex AI, or LangChain-based frameworks for advanced reasoning capabilities. • Mentor teams in emerging AI technologies, ensuring best practices in data management, model governance, and ethical AI deployment. Required Skills & Qualifications • Proven experience at Palantir, Google, or equivalent high-scale technology environments. • Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures. • Expertise in data engineering, machine learning, and cloud computing (Google Cloud Platform, AWS, or Azure). • Deep understanding of LLMs (Large Language Models), retrieval-augmented generation (RAG), and autonomoagentic AI systems. • Demonstrated ability to build and scale intelligent agents or AI-driven decision support systems. • Strong problem-solving, system design, and stakeholder management skills. Preferred Qualifications • Master's or Ph.D. in Computer Science, Data Science, AI, or related field. • Prior experience leading teams in AI/ML innovation, data strategy, or enterprise AI platform development. • Familiarity with frameworks like LangChain, CrewAI, AutoGPT, or similar agentic orchestration technologies. • Exposure to defense, finance, or mission-critical enterprise systems leveraging AI for automation or decision intelligence.