Base Salary
$227k - $326k/yr
Responsibilities
- Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.
- Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
- Build systems to ingest and process federal datasets for real-time decision-making.
- Develop capabilities for data retrieval, asynchronous agent orchestration, deviation alerts, and explaining agent decisions.
- Ensure system reliability and performance across multiple security classifications and network types.
- Mentor engineers in defining requirements with stakeholders and gathering acceptance.
- Communicate technical trade-offs and implementation strategies to senior government stakeholders and company leadership.
- Influence long-term product strategy and the technical roadmap for the Federal business unit.
- Consult on the architecture of AI-powered solutions for large-scale federal contracts.
Requirements
- Proficiency in front-end, back-end, and infrastructure development using modern web frameworks, programming languages, and databases.
- Experience or familiarity with cloud platforms such as AWS, Azure, or GCP and cloud-native application development.
- Understanding of Docker and Kubernetes is a plus.
- Knowledge of ETL processes and experience building data pipelines for diverse data sources.
- Understanding of data modeling, data warehousing, and data governance principles.
- Familiarity with integrating Large Language Models and building agentic workflows, including prompt engineering, retrieval-augmented generation, and agent orchestration.
- Strong analytical, problem-solving, collaboration, communication, adaptability, and learning agility skills.
- Ability to articulate technical concepts and trade-offs to non-technical audiences and senior stakeholders.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- May include a commuter stipend.
- Full-time role with location-specific work arrangements referenced in the job posting subtitle.
- A 90-day waiting period applies before reconsideration for the same role.
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.