AI/ML Software Engineer (Hybrid Remote - TS/SCI - Multiple Openings)

Zachary Piper Solutions is seeking highly skilled and motivated TS/SCI cleared AI/ML Software 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 (25-50%): 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, 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, JavaScript, Typescript, Node.JS

·      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:

• $180,000 - $300,000 (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.

Application Period: Opens on 10/09/2025 and will be accepted for at least 30 days from the posting date.

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