AI and ML Solutions Architect, Lead

Phase2 Technology; Ashburn (VA); On-site; USD 112,800 - 257,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Professional development

Tuition assistance

Job summary

Booz Allen Hamilton is seeking an experienced AI and ML Solutions Architect, Lead, to design and implement effective AI architectures. This role involves addressing client business problems through innovative solutions and mentoring employees in technical competencies.

The ideal candidate should have over 8 years of experience in data science and machine learning, as well as the ability to communicate complex AI concepts clearly. The position offers a flexible work model, including remote and hybrid options, complemented by comprehensive benefits.

Qualifications

• 8+ years of experience with data science, machine learning, or AI.
• Experience leading end-to-end architecture and delivery of complex AI programs.
• Ability to communicate complex AI concepts to senior leaders.

Responsibilities

• Design and implement AI solution architecture and strategy.
• Mentor or supervise employees.
• Operate with substantial latitude for unreviewed action.

Skills

Data science

Machine learning

Deep learning

AI system design

MLOps

Cloud expertise (AWS, GCP)

Communication of complex concepts

Education

Bachelor’s degree in CS, Engineering, or Data Science

Tools

AWS

GCP

Kubernetes

Docker

Terraform

SageMaker

Vertex AI

Job description

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.

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 trade‑off 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 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 CS, Engineering, or Data Science field

Nice to Have

• 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

Compensation

Salary range: $112,800.00 to $257,000.00 (annualized USD). The posted range is a typical salary for this position and is one component of Booz Allen’s total compensation package. This posting will close within 90 days from the posting date.

Benefits

The role includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week are eligible to participate. Individuals below the threshold are eligible for select offerings. Learn more on the Careers site and the Employee Benefits page.

Identity Verification

Applicants will complete an identity verification process that uses advanced biometrics and AI to ensure authenticity and protect against fraud. Interviewers may observe the applicant on camera, and pictures may be taken for verification purposes.

Candidate AI Usage Policy

AI tools may be used at work, but the use of AI or other tools to assist with responses during interviews is prohibited unless explicitly authorized.

Work Model

Our people‑first culture prioritizes collaboration. Virtual employees are generally expected to have their cameras on during meetings. The following options are available:

• Remote: The position may require occasional on‑site work at a Booz Allen or customer facility.
• Hybrid: Employees are expected to work from a Booz Allen facility frequently, with potential visits to a customer facility.
• Onsite: Work is primarily performed at a Booz Allen office or customer facility.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable law.