Principal AI Software Developer
Tasks
- Build agentic workflows and orchestration frameworks
- Contribute to proposals and captures
- Create modernization roadmaps for federal systems
- Define architecture standards and reference architectures
- Define enterprise AI and application architecture strategy
- Design distributed AI enabled architectures
- Develop RAG systems at scale
- Drive compliance with federal security and privacy requirements
- Enforce zero trust architectures
- Establish AI engineering best practices
- Evaluate emerging AI technologies for production adoption
- Implement advanced CI CD automation
- Lead responsible AI model evaluation and validation
- Lead technical decision making across portfolios
- Lead technical hiring and workforce planning
- Manage secure supply chain with SBOM and scanning
- Mentor engineers and architects
- Oversee enterprise DevSecOps pipelines
- Own end to end enterprise architecture
- Present solutions in client demos and strategy sessions
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agentic Workflows | Auditability | Azure | Bias Mitigation | CI/CD | Cloud Native | DevSecOps | Distributed Systems | Explainability | GCP | Microservices | Model Evaluation | Orchestration | Platform Engineering | Policy enforcement | Python | RAG | SBOM | Security Scanning | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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