Booz Allen is looking to improve the software technology supporting their Department of Defense (DoD) customers within the Modeling, Simulation, and Analysis (MS&A) domain by developing a new transformative campaign modeling tool delivered as a service.
Requirements
- 10+ years of experience in solution architecture or engineering
- 3+ years of experience with AI/ML in production environments
- Experience with AI, ML, or LLM systems, including architecture design, model selection, implementation, and deployment
- Experience with programming languages such as Python, Java, or C++
- Experience with containerization and orchestration, including Docker and Kubernetes, for scalable and reliable deployments
- Knowledge of data structures, algorithms, and mathematical and statistical concepts such as linear algebra, calculus, and probability
- Knowledge of cloud computing platforms and services such as AWS, Azure, and Google Cloud, used in DoD contexts
Responsibilities
- Develop the technical vision and an architectural roadmap for the offering, while aligning it with DoD objectives and incorporating AI, ML, or LLM components
- Select appropriate technologies, frameworks, and tools to meet complex requirements
- Lead to the building of an advanced SaaS solution applying generative AI techniques relevant to campaign modeling, including scenario synthesis and simulation data augmentation
- Build digitally transformative, campaign-level modeling and simulation tools, data, and processes to assess weapon efficacy for future procurements and employments
- Design crucial software schemes that’ll unify and elevate disparate legacy systems into a next-generation AI-accelerated ecosystem
- Guide a team that develops an unprecedented solution that encompasses advanced and agile model development, integration, deployment, and ongoing maintenance in a production environment for our customers
Other
- TS/SCI clearance
- Master's degree in a CS, Data Science, or AI field
- Experience driving strategic initiatives and delivering successful outcomes in a technical leader role
- Experience in a pre-sales or customer-facing consultative role, translating business needs into technical solutions
- Experience with DoD organizations
