Zachary Piper Solutions
AI Software Engineer (Multiple Openings - Hybrid Remote - TS/SCI)
Zachary Piper Solutions, Washington, District of Columbia, us, 20022
Overview
Zachary Piper Solutions is seeking highly skilled and motivated TS/SCI cleared
AI 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 (50%):
Washington, DC; San Francisco, CA; St. Louis, MO; Honolulu, Hawaii
Openings:
Multiple - 30x
Responsibilities
Design and implement scalable backend systems for Federal customers, leveraging Scale's 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 Scale AI's 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
$170,000 - $280,000 (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 09/09/2025 and will be accepted for at least 30 days from the posting date.
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AI 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 (50%):
Washington, DC; San Francisco, CA; St. Louis, MO; Honolulu, Hawaii
Openings:
Multiple - 30x
Responsibilities
Design and implement scalable backend systems for Federal customers, leveraging Scale's 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 Scale AI's 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
$170,000 - $280,000 (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 09/09/2025 and will be accepted for at least 30 days from the posting date.
#J-18808-Ljbffr