AI Lead Software Architect - SME
Chantilly/Herndon, VA
USD 131K-218K (estimate) Senior-level Full Time
Tasks
- Apply differential privacy
- Apply model quantization
- Architect distributed AI platforms
- Build automated DevSecOps pipelines
- Build retrieval augmented generation platforms
- Define enterprise coding and safety standards
- Deploy enterprise LLM and SLM topologies for classified enclaves
- Design high throughput model inference pipelines
- Develop AI security governance and tooling
- Develop custom inference execution kernels
- Direct R and D initiatives
- Establish AI zero trust security postures
- Implement prompt injection guardrails
- Implement semantic routing layers
- Implement speculative decoding
- Lead model governance and continuous training pipelines
- Manage ML supply chain risk
- Map mission objectives to technical architectures
- Monitor model drift and evaluate deterministically
- Optimize compute across GPUs TPUs and NPUs
- Orchestrate multi-agent systems
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous programming | Autogen | C# | CI/CD | CUDA | Cluster management | DAST | DPO | DeepSpeed | Differential Privacy | GRPO | Infrastructure as Code | Istio | Java | Kubernetes | LLMOps | Langgraph | Llamaindex | LoRA | MLOps | Mixture of Experts | Muti Cluster Management | Pulumi | PyTorch | Python | QLoRA | Quantization | RLHF | Ray | Retrieval-Augmented Generation | Rust | SAFe | SAST | Scaled Agile | Service Mesh | Speculative decoding | TensorRT-LLM | Terraform | Triton | VLLM | Zero Trust | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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