1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with Palantir including hands-on experience with one of the following key platforms/products; Foundry, AIP, Maven + 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.