AI and ML Solutions Architect, Lead

Booz Allen Hamilton • Ashburn, VA

1d • $112,800 - $257,000

About The Position

Design and implement AI solution architectures and strategies using a range of AI technologies and methods to address client business needs while aligning with organizational strategies and business goals and considering key ethical issues. Apply leading-edge principles and concepts, contribute to developing new concepts, and solve unusually complex problems with highly innovative solutions. The role operates with substantial latitude for unreviewed decisions and includes mentoring or supervising employees in company and technical competencies.

The architect leads end-to-end architecture, design, and delivery of complex AI programs; develops AI/ML roadmaps and evaluates technical alternatives; and manages a portfolio of AI initiatives at different maturity levels. The role advises Director- and Executive-level leaders on CTO-aligned strategy, and translates technical research and development into governed, secure, enterprise-ready offerings integrated into business workflows. It also involves designing and deploying advanced AI systems and secure, compliant MLOps and CI/CD pipelines in highly regulated environments, while communicating recommendations to senior leaders and operational stakeholders and contributing hands-on to prototypes and demonstrations.

Applicants selected will be subject to a government investigation and may need to meet U.S. government client eligibility requirements. The successful candidate must be able to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements. The position’s projected annualized compensation range is $112,800 to $257,000 USD. Booz Allen describes benefits including health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The posting is scheduled to close within 90 days of its posting date.

During hiring, candidates must complete identity verification using biometrics and AI and are expected to be on camera during interviews and assessments. AI or other tools may not be used to assist with interview responses unless explicitly permitted. The work model is not specified for this position; the posting provides general descriptions of remote, hybrid, and onsite arrangements. Employees working virtually are generally expected to have cameras on during meetings.

Requirements

• At least 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 at 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 integrated with business workflows.
• 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 CS, 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 or strategies to address clients’ business problems and needs, aligned with organizational strategies and business goals and attentive to 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 that integrate with business workflows.
• Communicate complex AI concepts and actionable insights to senior leaders and operational stakeholders, while remaining hands-on for rapid prototyping and demos.
• Mentor or supervise employees in company and technical competencies.
• Apply leading-edge principles and concepts, contribute to developing new principles and concepts, and provide innovative solutions to unusually complex problems.

Benefits

• Health benefits
• Life insurance
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior