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Systems Planning and Analysis

Provides data-driven national security analytics

AI Solution Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLincoln, MA, USA$180k - $270k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, data science, or a related field is required.
  • At least 7 years of experience architecting and delivering artificial intelligence or machine-learning-enabled solutions, including at least 3 years in complex enterprise or regulated environments.
  • Strong understanding of software engineering and IVV&E workflows and how AI/ML can improve productivity and quality, including code analysis, test selection, and anomaly detection.
  • Experience architecting AI services on modern platforms such as containers, microservices, and APIs, and integrating them with DevSecOps pipelines and tools.
  • Understanding of security, governance, and assurance considerations for AI, including data protection, model lifecycle management, and traceability of AI outputs.
  • An active Secret clearance or the ability to obtain one, and the ability to maintain it throughout employment.

Responsibilities

  • Make AI and machine-learning services available on the platform to improve integration productivity, code and system assurance, and analytical insight for OEMs and integration teams.
  • Work with engineering, IVV&E, and platform operations to identify high-value use cases such as static and dynamic code analysis, automated test generation and prioritization, anomaly detection in performance metrics, and intelligent defect triage.
  • Design, integrate, and govern AI services on the DevSecOps/CDE stack with appropriate security, explainability, and auditability.
  • Help shape the roadmap for AI-enabled capabilities supporting mission planning enterprise objectives, ensuring investments are coupled to SOW-driven integration, evaluation, and cybersecurity needs.

Desired Qualifications

  • Experience applying AI/ML in defense, aerospace, or other mission-critical software contexts, such as code assurance, cyber analytics, or integration verification.
  • Familiarity with mission planning software ecosystems and data structures, and understanding of AI opportunities in integration, performance assessment, and deficiency analysis.
  • Background integrating AI-driven analytics into program and technical performance dashboards to provide early indicators of risk.
  • Experience working with cybersecurity and ISSM teams to ensure AI solutions meet RMF and other cyber policy requirements.
  • An advanced degree in AI, machine learning, or a closely related discipline, and experience with MLOps practices in operational environments.

About the Company

Systems Planning and Analysis

Provides data-driven national security analytics

SPA is a global advisory firm that supports U.S. national security decision-making by using modeling, simulation, and rigorous analysis to inform programs across the Navy, DoD, Homeland Security, and Energy. Its products rely on building models, running simulations, and applying data science, wargaming, and digital engineering in an advanced analytics lab to forecast outcomes and compare options. The firm differentiates itself through a 50-year track record, strong government relationships, and growth via acquisitions that broaden capabilities in space, data science, and wargaming, plus an in-house Office of Innovation. Its goal is to accelerate the delivery of accurate, actionable analyses and new capabilities that help defense leaders choose the best paths for programs and investments.

Company size
1,001-5,000
Company stage
N/A
Total funding
$20.1M
Headquarters
Alexandria, VA
Founded
1972

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