AI Lead Software Architect - SME

BuddoBot Inc.; Herndon (VA); Presencial; USD 225.000 - 285.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Java

Rust

Python

C

CUDA

Triton

Asynchronous execution

Memory management

DevSecOps

SAFe/Scaled Agile

Educación

Bachelor's degree in Computer Science/Engineering

Master's degree or Ph.D. preferred

Herramientas

PyTorch

TensorRT-LLM

vLLM

DeepSpeed

Ray

LangGraph

AutoGen

LlamaIndex

CUDA

Triton

Descripción del empleo

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking an elite AI Software Architect (SME) to drive the vision, structural topology, and enterprise-wide architectural execution of mission-critical Artificial Intelligence and Machine Learning systems. Operating at the apex of software engineering and hardware acceleration, you will design fault-tolerant, resilient, and ultra-low-latency distributed AI architectures deployed across air-gapped, multi-cloud, and tactical edge environments.

In this role, you will serve as the principal technical authority, bridging high-assurance systems engineering with bleeding-edge AI models, custom inference engines, multi-agent frameworks, and zero-trust DevSecOps pipelines.

Key Responsibilities

• Enterprise AI System Design: Architect end-to-end distributed AI platforms, high-throughput model inference pipelines, and scalable enterprise LLM/SLM deployment topologies tailored for classified enclaves.
• Autonomous & Agentic Systems: Design resilient multi-agent orchestration engines, continuous Retrieval-Augmented Generation (RAG) platforms, and real-time semantic routing layers using modern framework paradigms.
• Hardware & Inference Optimization: Lead system trade studies to optimize compute across heterogeneous hardware (GPUs, TPUs, NPUs), implementing advanced quantization, speculative decoding, and custom execution kernels for edge and air-gapped environments.
• Zero-Trust Security & Governance: Establish system-wide AI security postures, incorporating automated DevSecOps, prompt-injection guardrails, differential privacy, and rigorous supply-chain risk management for ML artifacts.
• Technical Authority & Roadmap Strategy: Interface directly with executive leadership and intelligence community stakeholders to map mission objectives to technical architectures, establish enterprise coding and safety standards, and direct R&D initiatives.

Required Qualifications

• A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree or Ph.D. strongly preferred).
• 15+ years of software engineering and systems architecture experience, with demonstrated leadership in delivering enterprise-scale AI/ML solutions.
• AI Frameworks & LLMOps: Advanced mastery of low-level framework mechanics (PyTorch, TensorRT-LLM, vLLM, DeepSpeed, Ray), custom extension development, and enterprise orchestration platforms (LangGraph, AutoGen, LlamaIndex).
• AI Models & Fine-Tuning Strategy: Expertise in novel architecture adaptation, speculative decoding, mixture-of-experts (MoE), parameter-efficient fine-tuning (LoRA, QLoRA), and post-training alignment (RLHF, DPO, GRPO).
• Machine Learning Systems Engineering: MLOps/LLMOps architecture, model governance, continuous training pipelines, real-time drift detection, and deterministic evaluation frameworks.
• Systems Programming & Performance: Polyglot mastery in Java, Rust, Python, and C, with deep expertise in asynchronous execution, memory management, CUDA/Triton kernels, and hardware-level performance profiling.
• Containerization & Mesh Orchestration: Enterprise Kubernetes multi-cluster federation, custom CRDs, Service Mesh (Istio), bare-metal GPU scheduling, and zero-trust containerization strategies.
• Multi-Cloud & Air-Gapped Infrastructure: Cross-cloud architecture (AWS GovCloud, Azure Secret), Infrastructure as Code (Terraform, Pulumi), and disconnected/air-gapped tactical node deployment methodologies.
• DevSecOps & AI Security Tooling: Designing automated SAST/DAST pipelines, confidential computing enclaves (TEEs), runtime guardrails, adversarial AI defense, and automated vulnerability remediation frameworks.
• Agile & Enterprise Transformation: Steering multi-pod engineering teams, establishing SAFe/Scaled Agile systems execution, and managing architectural debt across multi-year programs.

Desired Qualifications

• Advanced Certifications: AWS Certified Solutions Architect - Professional, Certified Information Systems Security Professional (CISSP), Certified Kubernetes Administrator (CKA), or specialized High-Performance Computing (HPC) credentials.
• Pioneering Field Work: Proven track record architecting and deploying petabyte-scale ML systems or multi-agent autonomous frameworks into classified, air-gapped intelligence networks.
• Recognized technical leadership in the broader AI engineering community (e.g., open-source contributions, technical publications, or patent holdings in distributed AI systems/architectures).

Position Clearance Requirement

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph

Location

Chantilly/Herndon, VA.

Target Salary Range

$225,000.00 - $285,000.00+ (Commensurate with specialized architecture expertise and technical skillset)

Equal Opportunity Employer

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.