Booz Allen Hamilton-posted 3 months ago
$142,900 - $266,000/Yr
Full-time • Senior
McLean, VA

As an AI Solution Architect, you will lead the design and implementation of proprietary engineering services and intellectual property with commercial technologies. You will define AI solution blueprints, engineering processes and solutions that accelerate the co-development and delivery of enhanced technologies. Additionally, you will serve as the technical bridge between engineering teams, commercial tech partners and executive stakeholders to ensure solutions maximize both technical and business objectives. Due to the nature of work performed within this facility, U.S. citizenship is required.

  • Design AI solutions that create mission advantages for clients and competitive differentiation
  • Lead the co-development of mission specific agentic applications, software defined platforms and service as software solutions
  • Serve as the AI technical lead for portfolio companies and commercial tech partners – setting engineering priorities, co-development and implementation strategies
  • Development quantitative frameworks, measure and communicate alternative solution architecture trade-offs to engineering, sales and executive stakeholders
  • Identify opportunities for intellectual property creation, licensing and engineering service monetization – drive integration into cloud, AI model and SaaS offerings
  • Advise on AI venture capital investments and go to market model decisions
  • 10+ years of experience with AI engineering, including full-stack AI technology development, data pipeline and AI model engineering, and integration into commercial solutions
  • 4+ years of experience with Service as Software or AI as a Service engineering, including foundational model grounding, fine-tuning, and integration into third-party applications
  • Experience successfully developing and implementing impactful AI solutions in production environments
  • Experience evaluating AI investments and research, benchmarking custom AI solutions against industry standards and models, and communicating results to executive stakeholders
  • Experience managing scaled delivery of custom AI solutions across cloud native services and infrastructure, such as NVIDIA Cloud Functions or AWS Bedrock
  • Experience working with venture-backed engineering and go-to-market teams
  • Bachelor's degree
  • 4+ years of experience working with pre-sales engineering teams, setting financial targets, and executing business to business or business to customer AI managed service deliveries
  • 4+ years of experience working in relevant use case domains, such as USG efficiencies, autonomous systems, defense, aerospace, or intelligence
  • Experience leading AI business case analyses, technology evaluations, and investments
  • Master's degree
  • Health, life, disability, financial, and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program for exceptional performance
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