Zachary Piper Solutions is seeking highly skilled and motivated AI/ML Engineers to join a dynamic Federal AI Engineering Team (GenAI/Public Sector). In this role, you will help deliver high-impact, AI-powered mission solutions for government customers. You'll work with scalable, high-performance platforms designed to handle billions of data points, contributing to backend systems, distributed architectures, and machine learning infrastructure in secure environments. Hybrid Remote (30% - 50%): Washington, DC; San Francisco, CA; St. Louis, MO; Honolulu, Hawaii Responsibilities: • Design and implement scalable backend systems for Federal customers, leveraging modern and cloud-native AI infrastructure. • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners. • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions • Contribute to the platform roadmap and product strategy for Federal business, playing a key role in shaping the future direction of our offerings Qualifications: • Must possess an active TS/SCI clearance (can hold up to TS/SCI FSP) • Strong programming skills in Python • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. • Understanding of data modeling, data warehousing, and data governance principles • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding model serving, monitoring, and deployment strategies is beneficial Compensation: • $190,000 - $290,000 (Based on years of relevant experience) Benefits: • Comprehensive benefits package including medical, dental, vision, 401k, 20+ paid time off, 11 federal holidays, and sick leave.