Today
Top Secret/SCI
Unspecified
Full Scope Polygraph
IT - Software
San Francisco, CA (On-Site/Office)
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:
Benefits:
Application Period: Opens on 09/09/2025 and will be accepted for at least 30 days from the posting date.
#LI-NJ1 #LI-Hybrid
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.
#LI-NJ1 #LI-Hybrid
group id: 10430981
