AI and ML Solutions Architect, Lead
$112,800–$257,000 year
On-siteAshburn, Virginia, United States
Job Summary
Design and implement effective artificial intelligence solution architecture or strategy utilizing various AI technologies to address clients' business problems while complying with organizational strategies and ethical considerations. Lead end-to-end architecture, design, and delivery of complex AI programs, including Generative AI, AI Agents, LLMs, and computer vision models. Manage a portfolio of AI initiatives across varying maturity levels, perform Analysis of Alternatives, and make defensible technical tradeoff decisions. Mentor or supervise employees in both company and technical competencies, providing actionable insights to senior leaders. Operate with substantial latitude for unreviewed action on unusually complex problems.
Required Qualifications
- 8+ years of experience with data science, machine learning (ML), deep learning, or AI, including leading end‐to‐end architecture, design, and delivery of complex AI programs
- Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
- Experience managing a portfolio of AI initiatives across varying maturity levels and advising Director and Executive‐level leadership on CTO‐aligned strategy
- Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
- Experience building and scaling secure, compliant MLOps and CI/CD pipelines and deploying solutions into highly regulated environments
- Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
- Ability to communicate complex AI concepts clearly, providing actionable insights to senior leaders and operational stakeholders while remaining hands‐on for rapid prototyping and demos
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor's degree in a CS, Engineering, or Data Science field
Desired Qualifications
- Experience with Edge deployments and optimization strategies, including quantization, pruning, and knowledge distillation
- Experience with MLOps for production and ML workloads
- Experience working with cybersecurity teams to develop and review technical documentation and security control implementation required to achieve and maintain ATO
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