Senior Software Engineer (AI-Enabled Platforms & Tools)

Leidos • Reston, VA

3d

About The Position

Senior Software Engineer (AI-Enabled Platforms & Tools) This is not a maintenance role. This is a reinvention role. Leidos is seeking a Senior Software Engineer to design, build, and sustain AI-enabled software platforms and developer tools that support modernization of mission-critical systems. This role moves beyond delivering individual features to owning parts of the system. A Senior Software Engineer makes solid technical decisions, contributes to design work, and provides technical continuity on the team while working closely with senior and principal engineers. This is a hands-on senior engineering role with meaningful design responsibility and delivery accountability. This is a role for builders who bias toward action, who believe disruption can coexist with rigor, and who want to apply cutting-edge AI to the problems that matter most. Mission Context Our teams develop software systems that support critical national missions across regulated and safety-critical domains. These systems require: High reliability, security, and resilience Thoughtful modernization of legacy architectures Responsible and governed application of AI capabilities As a Senior Software Engineer, you will own and evolve key subsystems that enable these outcomes, ensuring solutions are robust, maintainable, and production-ready. Why Join Us? Work on real, mission-critical systems—not experimental demos Gain hands-on experience with AI-enabled software in production environments Learn from senior and principal engineers while maintaining meaningful ownership Build a long-term technical career with a clear and structured growth path

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 8+ years of relevant software engineering experience
• Strong proficiency in at least one modern programming language (e.g., Python, Java, Go, TypeScript)
• Demonstrated experience designing and delivering complex features or subsystems
• Experience with: Service-based or microservice architectures RESTful APIs Software testing and CI/CD pipelines
• Familiarity with: Containers (Docker) Kubernetes or similar orchestration platforms Cloud platforms (AWS, Azure, or GCP)
• Ability to work independently on complex problems with minimal supervision
• Strong communication skills and ability to collaborate across teams
• Must be authorized to work in the U.S.

Nice To Haves

• Professional experience working with AI/ML or LLM-enabled systems
• Experience working in regulated, secure, or mission-critical environments
• Experience contributing to platform engineering, developer tooling, or system modernization initiatives

Responsibilities

• Technical Design & Implementation Own the design and implementation of complex features or subsystems within established architectures
• Translate high-level requirements into detailed technical designs and implementation plans
• Develop and maintain high-quality software using modern programming languages such as Python, Java, Go, or TypeScript
• Ensure solutions meet defined standards for quality, security, performance, and reliability
• AI-Enabled Systems (Applied Design & Execution) Design and implement AI-enabled features using approved frameworks, models, and patterns, including: API-based AI integrations Prompt- and workflow-driven AI capabilities Retrieval- or data-assisted application components
• Evaluate and improve AI-assisted behavior using established testing, validation, and review practices
• Apply AI safety, governance, and review mechanisms consistently across owned components
• Platform & Cloud Contributions Design, develop, and support services deployed in cloud-native environments
• Contribute to containerized applications, CI/CD pipelines, and operational tooling
• Troubleshoot and resolve complex application- and service-level issues
• Partner with platform, security, and infrastructure teams to deliver scalable and reliable solutions
• Technical Leadership & Collaboration Provide technical guidance and mentorship to T2/T3 engineers through code reviews, pairing, and design discussions
• Act as a go-to engineer for assigned subsystems or domains
• Participate actively in cross-team technical discussions and design reviews
• Influence engineering best practices through example and constructive feedback

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level