• Utilize open-source, air-gapped large language models (LLMs) for secure processing. • Train and fine-tune models using legacy application exports (Oracle Forms and Oracle Framework applications) to extract business rules, logic, and metadata. • Implement an iterative training process to improve model accuracy from an initial 50-60% to 80-90%. • Parse and clean legacy code (Oracle Forms, PL/SQL) to extract key business rules, triggers, procedures, and configurations. • Deliver outputs in standardized formats (PL/SQL scripts, JSON boilerplates) for use in Oracle APEX. • Rapidly generate APEX application boilerplates from extracted logic. • Provide downloadable scripts for database object creation, reducing manual recoding efforts. • Ensure all processing occurs within secure environments, with no proprietary data shared externally. • Enforce best practices in code structure, documentation, and naming conventions. • Review current best practices in APEX code structure, documentation, and naming conventions and update output to align to these standards where they are logical. • Extend the AI-driven approach to other legacy modules or applications as needed, supporting future automation opportunities.

• Design and implement a web-based architecture enablement platform that makes SA artifacts, models, and reports easily accessible to business and technical stakeholders • Integrate the solution with existing System Architecture (SA) tools, repositories, and data sources • Develop backend services, APIs, and data models to support architecture content ingestion, transformation, and presentation • Design intuitive front-end interfaces and dashboards tailored for non-technical business users • Ensure the solution supports search, filtering, reporting, and visualization of SA artifacts • Collaborate with architects, engineers, and business stakeholders to understand requirements and ensure alignment • Implement appropriate security, access control, and role-based visibility for architecture content • Document the solution architecture, integration patterns, and operational considerations • Support deployment, maintenance, and future enhancement of the platform

• Definir y diseñar arquitecturas de datos escalables, seguras y automatizadas. • Diseñar y mantener soluciones basadas en Data Lake. • Implementar y orquestar pipelines con Azure Data Factory. • Gestionar infraestructura en Azure utilizando Bicep.

• Develop a complete mission concept based on customer needs • Perform mission-level analysis and own all top-level mission budgets • Requirements definition and design for the mission and a variety of RF and optical instruments • Leverage software tools and/or writing code to explore engineering trade studies and answer system design questions • Understands key metrics and design trades for optical and RF instruments, and can work effectively with Muon’s instrument design team • Perform spacecraft performance and constellation configuration evaluation • Collaborate with other discipline engineers and scientists to ensure the product meets objectives