Talantix.io
Leidos•10.03.26
AI SCORE 8.5

Principal Software Engineer - AI-Enabled Platforms (Remote)

$131K–$237K/year
RemoteAI/Big Data
Python•Java•Go•TypeScript•Kubernetes•Microservice•AI Integration

About the Role

Leidos is seeking a Principal Software Engineer to join our team in a remote capacity. This is not just a maintenance role; it’s a reinvention role where you will provide technical leadership for the design and delivery of AI-enabled software platforms and developer tools that support the modernization of mission-critical systems. As a Principal Software Engineer, you will be responsible for system-level technical leadership, defining architectural direction, and resolving complex technical challenges.

What You'll Do

  • Serve as the technical owner for major systems or platforms within an established strategic direction.
  • Define and evolve architectural patterns, design standards, and reference implementations.
  • Lead design reviews and guide teams toward sound technical decisions.
  • Identify and resolve complex technical risks spanning multiple components or teams.
  • Design and implement critical or high-risk components.
  • Review and elevate code quality across teams through deep technical feedback.
  • Lead the technical design of AI-enabled capabilities using approved models, frameworks, and platforms.
  • Establish patterns for AI integration, evaluation, testing, and validation.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 12+ years of relevant software engineering experience.
  • Demonstrated experience leading the design of complex, distributed systems.
  • Expert proficiency in two or more modern programming languages (e.g., Python, Java, Go, TypeScript).
  • Deep understanding of service-based or microservice architectures.
  • Proven ability to influence technical direction without formal authority.
  • Strong communication skills across technical and non-technical audiences.
  • Must be authorized to work in the U.S.

Nice to Have

  • Experience designing or integrating AI-enabled or data-driven systems in production.
  • Background in developer tools, platform modernization, or large-scale system evolution.

What We Offer

  • Competitive compensation and benefits package.
  • Health and Wellness programs.
  • Income Protection, Paid Leave, and Retirement plans.
  • Opportunities for professional growth and development.
  • Work in a dynamic and innovative environment.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Principal Software Engineer role at Leidos offers a unique opportunity to lead AI-enabled platforms in a fully remote setting, with a competitive salary and comprehensive benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Deep expertise in Python and Go for building scalable microservices, ensuring performance and maintainability in AI-enabled platforms.

→

Strong experience with Kubernetes for orchestrating containerized applications, demonstrating an ability to manage complex deployments in a remote work environment.

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A strategic mindset with a proven track record of leading cross-functional teams in the development of AI integration solutions, fostering innovation and driving project success.

Learning Resources

→Python Microservices Developmentcourse
→Kubernetes Official Documentationguide
→Building AI-Powered Applications with Pythonarticle

Career Path

Principal Software Engineer - AI-Enabled Platforms(Now)→Engineering Manager - AI Solutions(1-2 years)→Director of Software Engineering - AI Platforms(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption in Software Development
70%
Investment in AI Platforms
+150%
Labour Demand for Python Developers
+25%
Avg Salary for Principal Software Engineers
$150K

Skills & Requirements

Required
PythonJavaGo
Growing in Demand
Machine LearningData EngineeringDevOps
Declining
PerlRuby on Rails

Domain Trends

Rise of AI-Driven Development
By 2025, over 70% of development teams are expected to integrate AI tools in their workflows, enhancing productivity and code quality.
Shift to Cloud-Native Architectures
The adoption of Kubernetes and microservices is projected to grow by 30% annually, driving demand for engineers skilled in these technologies.
Increased Focus on Data Privacy
With 68% of companies prioritizing data privacy in AI applications, engineers must integrate compliance measures into software design.

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