Principal Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Leidos
Principal Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Job Description
Principal Software Engineer (AI-Enabled Platforms & Tools) at Leidos
This is not a maintenance role. This is a reinvention role. Leidos seeks a Principal Software Engineer to deliver technical leadership for AI-enabled software platforms and developer tools modernizing mission-critical systems.
Mission Impact
Modernize software for critical national missions in regulated, safety-critical domains requiring high reliability, security, resilience, scalable architectures, and responsible AI governance. Shape technical foundations for safe, efficient evolution.
Why Leidos?
- Shape mission-critical system foundations
- Lead production engineering—not slideware
- Apply AI responsibly to high-stakes problems
- Stay at peak technical level, avoid management
Key Responsibilities
Technical Leadership & Architecture
- Own major systems/platforms within strategic direction
- Evolve architectural patterns, standards, reference implementations
- Lead design reviews, guide decisions, resolve cross-team risks
Hands-On Engineering
- Design/implement critical components
- Review/elevate code quality via deep feedback
- Prototype/validate new approaches
- Ensure scalability, reliability, security, maintainability
AI-Enabled Systems
- Design AI capabilities with approved models/frameworks
- Establish patterns for AI integration, testing, safety, governance
- Guide responsible AI in production
Influence & Mentorship
- Act as technical authority/escalation point
- Mentor Senior/mid-level engineers
- Influence practices, tooling, standards
- Collaborate cross-functionally
Required Qualifications
- Bachelor’s in CS/Engineering or related
- 12+ years software engineering
- Lead complex distributed systems design
- Expert in 2+ languages (Python/Java/Go/TypeScript)
- Deep Kubernetes expertise (GitOps, Service Mesh, Helm/Kustomize)
- Influence without authority; strong communication
- U.S. work authorization
Preferred
- AI/data-driven production systems
- Agentic Kubernetes (KServe/KAgent, GPU nodes)
- Secure/regulated environments
- Developer tools/platform modernization
Join Leidos to outthink and outbuild on problems that matter. Pay: $131,300-$237,350 USD/year.
Locations
- Reston, Virginia, United States
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Kubernetes and container orchestrationintermediate
- GitOps deploymentsintermediate
- Service Mesh (e.g., Istio)intermediate
- Helm and Kustomizeintermediate
- Microservice architecturesintermediate
- Cloud-native systemsintermediate
- Python, Java, Go, TypeScriptintermediate
- AI integration and orchestrationintermediate
- KServe, KAgent, Agent Gatewaysintermediate
- GPU-enabled nodesintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (experience)
- 12+ years of relevant software engineering experience (experience)
- Demonstrated experience leading design of complex, distributed systems (experience)
- Expert proficiency in two or more modern programming languages (experience)
- Deep understanding of service-based/microservice architectures, cloud-native deployment, software security best practices (experience)
- Proven ability to influence technical direction without formal authority (experience)
- U.S. work authorization required (experience)
Responsibilities
- Serve as technical owner for major AI-enabled systems and platforms
- Define architectural patterns, design standards, and reference implementations
- Lead design reviews and resolve complex cross-cutting technical challenges
- Design and implement critical high-risk components with hands-on coding
- Establish AI patterns for integration, evaluation, safety, governance, and human-in-the-loop controls
- Mentor engineers and influence engineering practices across teams
- Collaborate with product, security, and platform leaders to align with mission needs
Benefits
- general: Shape technical foundations of mission-critical national systems
- general: Lead production engineering with cutting-edge AI application
- general: Operate at highest technical level without management responsibilities
- general: Work on high reliability, security, and scalable architectures
- general: Influence real-world modernization of safety-critical systems
Tags & Categories
Answer 10 quick questions to check your fit for Principal Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
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Principal Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Leidos
Principal Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Job Description
Principal Software Engineer (AI-Enabled Platforms & Tools) at Leidos
This is not a maintenance role. This is a reinvention role. Leidos seeks a Principal Software Engineer to deliver technical leadership for AI-enabled software platforms and developer tools modernizing mission-critical systems.
Mission Impact
Modernize software for critical national missions in regulated, safety-critical domains requiring high reliability, security, resilience, scalable architectures, and responsible AI governance. Shape technical foundations for safe, efficient evolution.
Why Leidos?
- Shape mission-critical system foundations
- Lead production engineering—not slideware
- Apply AI responsibly to high-stakes problems
- Stay at peak technical level, avoid management
Key Responsibilities
Technical Leadership & Architecture
- Own major systems/platforms within strategic direction
- Evolve architectural patterns, standards, reference implementations
- Lead design reviews, guide decisions, resolve cross-team risks
Hands-On Engineering
- Design/implement critical components
- Review/elevate code quality via deep feedback
- Prototype/validate new approaches
- Ensure scalability, reliability, security, maintainability
AI-Enabled Systems
- Design AI capabilities with approved models/frameworks
- Establish patterns for AI integration, testing, safety, governance
- Guide responsible AI in production
Influence & Mentorship
- Act as technical authority/escalation point
- Mentor Senior/mid-level engineers
- Influence practices, tooling, standards
- Collaborate cross-functionally
Required Qualifications
- Bachelor’s in CS/Engineering or related
- 12+ years software engineering
- Lead complex distributed systems design
- Expert in 2+ languages (Python/Java/Go/TypeScript)
- Deep Kubernetes expertise (GitOps, Service Mesh, Helm/Kustomize)
- Influence without authority; strong communication
- U.S. work authorization
Preferred
- AI/data-driven production systems
- Agentic Kubernetes (KServe/KAgent, GPU nodes)
- Secure/regulated environments
- Developer tools/platform modernization
Join Leidos to outthink and outbuild on problems that matter. Pay: $131,300-$237,350 USD/year.
Locations
- Reston, Virginia, United States
Salary
131,300 - 237,350 USD / yearly
Estimated Salary Rangehigh confidence
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Kubernetes and container orchestrationintermediate
- GitOps deploymentsintermediate
- Service Mesh (e.g., Istio)intermediate
- Helm and Kustomizeintermediate
- Microservice architecturesintermediate
- Cloud-native systemsintermediate
- Python, Java, Go, TypeScriptintermediate
- AI integration and orchestrationintermediate
- KServe, KAgent, Agent Gatewaysintermediate
- GPU-enabled nodesintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (experience)
- 12+ years of relevant software engineering experience (experience)
- Demonstrated experience leading design of complex, distributed systems (experience)
- Expert proficiency in two or more modern programming languages (experience)
- Deep understanding of service-based/microservice architectures, cloud-native deployment, software security best practices (experience)
- Proven ability to influence technical direction without formal authority (experience)
- U.S. work authorization required (experience)
Responsibilities
- Serve as technical owner for major AI-enabled systems and platforms
- Define architectural patterns, design standards, and reference implementations
- Lead design reviews and resolve complex cross-cutting technical challenges
- Design and implement critical high-risk components with hands-on coding
- Establish AI patterns for integration, evaluation, safety, governance, and human-in-the-loop controls
- Mentor engineers and influence engineering practices across teams
- Collaborate with product, security, and platform leaders to align with mission needs
Benefits
- general: Shape technical foundations of mission-critical national systems
- general: Lead production engineering with cutting-edge AI application
- general: Operate at highest technical level without management responsibilities
- general: Work on high reliability, security, and scalable architectures
- general: Influence real-world modernization of safety-critical systems
Tags & Categories
Answer 10 quick questions to check your fit for Principal Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs