Senior Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Leidos
Senior Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Job Description
Senior Software Engineer (AI-Enabled Platforms & Tools) at Leidos
This is a reinvention role, not maintenance. Join Leidos to design, build, and sustain AI-enabled platforms modernizing mission-critical systems for national security.
Mission Impact
Develop high-reliability software for regulated, safety-critical domains. Focus on security, resilience, legacy modernization, and governed AI application. Own subsystems ensuring production-ready solutions.
Key Responsibilities
- Technical Design: Own complex features, translate requirements to designs, code in Python/Java/Go/TypeScript.
- AI Integration: Build API/prompt/workflow-driven AI, RAG components; apply safety/governance.
- Cloud Platforms: Deploy containerized services, CI/CD, troubleshoot with infra teams.
- Leadership: Mentor T2/T3 engineers, lead subsystems, influence practices.
Required Qualifications
- BS in CS/Engineering + 8+ years experience (or equivalent).
- Modern languages, microservices, APIs, testing/CI-CD.
- Docker/K8s/cloud familiarity; independent problem-solving.
- U.S. authorization.
Preferred
- AI/ML/LLM experience.
- Regulated environments.
- Platform/modernization work.
Why Leidos?
Real missions, production AI, ownership, growth. For builders biasing action with rigor.
Salary: $107,900 - $195,050 USD. Full-time in Reston, VA.
Locations
- Reston, Virginia, United States
Salary
107,900 - 195,050 USD / yearly
107,900 - 195,050 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- Gointermediate
- TypeScriptintermediate
- Microservicesintermediate
- RESTful APIsintermediate
- Dockerintermediate
- Kubernetesintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- CI/CD Pipelinesintermediate
- AI/ML Integrationintermediate
- LLM Systemsintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field + 8+ years experience (experience)
- Proficiency in modern programming languages (Python, Java, Go, TypeScript) (experience)
- Experience designing complex features/subsystems (experience)
- Service-based/microservice architectures (experience)
- RESTful APIs & software testing (experience)
- Containers (Docker), Kubernetes, cloud platforms (experience)
- U.S. work authorization (experience)
Responsibilities
- Own design/implementation of complex AI-enabled features/subsystems
- Develop high-quality software meeting security/performance standards
- Integrate AI via APIs, prompts, workflows, RAG patterns
- Build cloud-native services with CI/CD & containers
- Troubleshoot application issues & partner with infra teams
- Mentor junior engineers via reviews & guidance
- Influence best practices in mission-critical environments
Benefits
- general: Work on mission-critical national systems
- general: Hands-on AI production experience
- general: Mentorship from senior/principal engineers
- general: Meaningful subsystem ownership
- general: Structured long-term career growth path
- general: Collaborative team environment
Tags & Categories
Answer 10 quick questions to check your fit for Senior Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos @ Leidos.
Related Books and Jobs
Senior Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Leidos
Senior Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos
Job Description
Senior Software Engineer (AI-Enabled Platforms & Tools) at Leidos
This is a reinvention role, not maintenance. Join Leidos to design, build, and sustain AI-enabled platforms modernizing mission-critical systems for national security.
Mission Impact
Develop high-reliability software for regulated, safety-critical domains. Focus on security, resilience, legacy modernization, and governed AI application. Own subsystems ensuring production-ready solutions.
Key Responsibilities
- Technical Design: Own complex features, translate requirements to designs, code in Python/Java/Go/TypeScript.
- AI Integration: Build API/prompt/workflow-driven AI, RAG components; apply safety/governance.
- Cloud Platforms: Deploy containerized services, CI/CD, troubleshoot with infra teams.
- Leadership: Mentor T2/T3 engineers, lead subsystems, influence practices.
Required Qualifications
- BS in CS/Engineering + 8+ years experience (or equivalent).
- Modern languages, microservices, APIs, testing/CI-CD.
- Docker/K8s/cloud familiarity; independent problem-solving.
- U.S. authorization.
Preferred
- AI/ML/LLM experience.
- Regulated environments.
- Platform/modernization work.
Why Leidos?
Real missions, production AI, ownership, growth. For builders biasing action with rigor.
Salary: $107,900 - $195,050 USD. Full-time in Reston, VA.
Locations
- Reston, Virginia, United States
Salary
107,900 - 195,050 USD / yearly
107,900 - 195,050 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Javaintermediate
- Gointermediate
- TypeScriptintermediate
- Microservicesintermediate
- RESTful APIsintermediate
- Dockerintermediate
- Kubernetesintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- CI/CD Pipelinesintermediate
- AI/ML Integrationintermediate
- LLM Systemsintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field + 8+ years experience (experience)
- Proficiency in modern programming languages (Python, Java, Go, TypeScript) (experience)
- Experience designing complex features/subsystems (experience)
- Service-based/microservice architectures (experience)
- RESTful APIs & software testing (experience)
- Containers (Docker), Kubernetes, cloud platforms (experience)
- U.S. work authorization (experience)
Responsibilities
- Own design/implementation of complex AI-enabled features/subsystems
- Develop high-quality software meeting security/performance standards
- Integrate AI via APIs, prompts, workflows, RAG patterns
- Build cloud-native services with CI/CD & containers
- Troubleshoot application issues & partner with infra teams
- Mentor junior engineers via reviews & guidance
- Influence best practices in mission-critical environments
Benefits
- general: Work on mission-critical national systems
- general: Hands-on AI production experience
- general: Mentorship from senior/principal engineers
- general: Meaningful subsystem ownership
- general: Structured long-term career growth path
- general: Collaborative team environment
Tags & Categories
Answer 10 quick questions to check your fit for Senior Software Engineer (AI-Enabled Platforms & Tools) - Careers at Leidos @ Leidos.
Related Books and Jobs