Data Science Gen AI Manager | Atlanta, GA (Hybrid) | W2 Only

Job Title: Data Science Gen AI Manager Location: Atlanta, GA (Hybrid) Experience: 10+ Years We are seeking a highly experienced and innovative Data Science Manager with deep expertise in Generative AI and Palantir Foundry / AIP to lead our AI-driven initiatives. The ideal candidate will architect and operationalize enterprise-grade GenAI solutions—spanning LLM applications, RAG pipelines, and fine-tuning workflows—within the Palantir ecosystem. This leadership role combines hands-on technical depth with strong strategic vision and people management skills. Key Responsibilities: • Lead the design, development, and deployment of AI/ML and GenAI solutions using Palantir Foundry / AIP. • Architect and implement Retrieval-Augmented Generation (RAG) pipelines, LLM-based applications, and custom model fine-tuning. • Guide a cross-functional team of data scientists and engineers in building scalable AI solutions. • Collaborate with data, product, and engineering teams to translate business needs into AI-powered systems. • Oversee ontology design, pipeline orchestration, and Foundry Workshop deployment for production-grade AI use cases. • Ensure MLOps best practices across model lifecycle management, monitoring, and retraining. • Stay current with emerging trends in GenAI, LLM frameworks, and Palantir ecosystem enhancements. • Present AI strategies and outcomes to senior stakeholders and governance forums. Required Skills: • 10+ years of experience in Data Science / Machine Learning, including 3+ years in Generative AI and LLMs. • Proven experience deploying AI solutions within Palantir Foundry / AIP. • Strong programming expertise in Python and modern AI/ML frameworks (Transformers, LangChain, PyTorch, TensorFlow, Hugging Face). • Hands-on experience integrating AI workflows into Foundry Code Workbooks and AIP logic functions. • Solid understanding of embedding models, semantic search, and vector databases. • Familiarity with ontology modeling, data governance, and pipeline orchestration in Foundry. • Knowledge of MLOps, especially in hybrid or cloud-native environments. • Exceptional leadership, communication, and stakeholder management skills. Preferred Qualifications: • Experience with enterprise-scale AI implementations across multiple business domains. • Familiarity with LLM frameworks such as GPT-4, Claude, Mistral, or LLaMA. • Exposure to cloud platforms (AWS, Azure, GCP) for AI/ML workloads. • Advanced degree (MS/PhD) in Computer Science, Data Science, or a related field.