AI and ML Solutions Architect, Lead
About The Position
Design and implement effective artificial intelligence solution architectures and strategies using various AI technologies and methods to address clients’ business problems and needs while aligning with organizational strategies, business goals, and ethical considerations. Apply advanced principles, theories, and concepts, and contribute to developing new ones. Solve unusually complex problems with innovative solutions, exercise substantial latitude in unreviewed decisions, and mentor or supervise employees in company and technical competencies. Lead end-to-end architecture, design, and delivery of complex AI programs. Develop AI/ML roadmaps, evaluate alternatives, make technical tradeoff decisions, manage a portfolio of AI initiatives at different maturity levels, and advise senior leadership on CTO-aligned strategy. Design, build, and deploy advanced AI systems, and transform R&D outputs into governed, secure, enterprise-grade offerings integrated with business workflows. Build and scale secure, compliant MLOps and CI/CD pipelines for highly regulated environments, while communicating with senior leaders and operational stakeholders and remaining hands-on for prototyping and demonstrations. This is a hybrid position based in Ashburn, Virginia. Applicants selected will be subject to a government investigation and may need to meet U.S. government client eligibility requirements. A Public Trust or Suitability/Fitness determination may be required based on client requirements. The role is with Booz Allen, an advanced technology company building products and solutions for defense, civil, and national security priorities.
Requirements
- 8+ years of experience with data science, machine learning, 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, 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 SageMaker, Vertex AI, Bedrock, or Gemini.
- Ability to communicate complex AI concepts clearly and provide 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 computer science, engineering, or data science field.
Nice To Haves
- 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.
Responsibilities
- Design and implement AI solution architectures and strategies that address client business problems and align with organizational strategy, business goals, and ethical considerations.
- Lead end-to-end architecture, design, and delivery of complex AI programs.
- Develop and maintain AI/ML roadmaps, perform Analysis of Alternatives, and make defensible technical tradeoff decisions.
- Manage a portfolio of AI initiatives across varying maturity levels and advise Director- and Executive-level leadership on CTO-aligned strategy.
- Design, build, and deploy advanced AI systems, including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models.
- Build and scale secure, compliant MLOps and CI/CD pipelines and deploy solutions into highly regulated environments.
- Transform technical R&D outputs into enterprise-grade, governed, security-aligned offerings integrated with business workflows.
- Communicate complex AI concepts and actionable insights to senior leaders and operational stakeholders.
- Remain hands-on for rapid prototyping and demonstrations.
- Mentor or supervise employees in company and technical competencies.
- Apply advanced principles and concepts, contribute to developing new principles and concepts, and provide innovative solutions to unusually complex problems.
Benefits
- Health, life, and disability benefits
- Financial and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
