AI and ML Solutions Architect, Lead

Design and implement effective artificial intelligence (AI) solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies, business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions.

Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies. Join us. The world can't wait.

• 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
• Experience transforming technical R&D outputs into enterprise‑grade, governed, and security‑aligned offerings that integrate with business workflows
• Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as Sage Maker, 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

• 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

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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