Senior AI Systems Architect — Enterprise, Low-Latency & Secure

BuddoBot Inc.

Herndon (VA)

On-site

USD 225,000 - 285,000

Full time

14 days+

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Job summary

Dark Wolf is seeking an elite AI Software Architect (SME) to drive enterprise-wide AI/ML architectures for mission-critical systems. You will architect end-to-end distributed AI platforms, including high-throughput inference pipelines for air-gapped, multi-cloud environments, and develop resilient multi-agent orchestration engines.

You will lead design decisions across hardware optimization, zero-trust DevSecOps, and governance, interfacing with executives and IC stakeholders to align objectives

Qualifications

  • Bachelor's degree in a technical field is required.
  • 15+ years of software engineering and architecture experience in enterprise AI/ML.
  • Expertise in AI/LLMOps, model governance, and real-time pipelines.

Responsibilities

  • Architect end-to-end distributed AI platforms for high-throughput inference in classified enclaves.
  • Design multi-agent orchestration engines and Retrieval-Augmented Generation pipelines.
  • Optimize compute across GPUs/TPUs/NPUs with advanced techniques for edge and air-gapped environments.
  • Establish zero-trust security postures and DevSecOps for ML artifacts.
  • Interface with leadership to map mission objectives to technical architectures and standards.

Skills

Java
Rust
Python
C
CUDA
Triton
Asynchronous execution
Memory management
DevSecOps
SAFe/Scaled Agile

Education

Bachelor's degree in Computer Science/Engineering
Master's degree or Ph.D. preferred

Tools

PyTorch
TensorRT-LLM
vLLM
DeepSpeed
Ray
LangGraph
AutoGen
LlamaIndex
CUDA
Triton

Job description

Dark Wolf is seeking an elite AI Software Architect (SME) to drive enterprise-wide AI/ML architectures for mission-critical systems. You will architect end-to-end distributed AI platforms, including high-throughput inference pipelines for air-gapped, multi-cloud environments, and develop resilient multi-agent orchestration engines.

You will lead design decisions across hardware optimization, zero-trust DevSecOps, and governance, interfacing with executives and IC stakeholders to align objectives

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