Artifical Intelligence (AI) Solution Architect

Responsibilities

• Makes AI and machine-learning services available on the platform to improve integration productivity, code and system assurance, and analytical insight for the OEMs and integration teams.
• Works 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.
• Designs, integrates, and governs AI services on the DevSecOps/CDE stack with appropriate security, explainability, and auditability.
• Helps shape the roadmap for AI-enabled capabilities that directly support mission planning enterprise objectives, ensuring that AI investments are tightly coupled to SOW-driven integration, evaluation, and cybersecurity needs.

Qualifications

• Bachelor’s degree in computer science, data science, or a related field
• 7+ years of experience architecting and delivering AI/ML-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 (e.g., code analysis, test selection, anomaly detection)
• Experience architecting AI services on modern platforms (containers, microservices, 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

Desired Qualifications

• Experience applying AI/ML in defense, aerospace, or other mission-critical software contexts (e.g., code assurance, cyber analytics, integration verification)
• Familiarity with mission planning software ecosystems and data structures, and an understanding of AI opportunities in integration, performance assessment, and deficiency analysis
• Experience working closely with cybersecurity and ISSM teams to ensure AI solutions meet RMF and other cyber policy requirements
• Advanced degree in AI, machine learning, or a closely related discipline, and experience with MLOps practices in operational environments

Pay

Pay Range Information: At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Massachusetts, Pay Transparency Salary range: USD $180,000.00/Yr. - USD $270,000.00/Yr.