Principal Software Engineer - AI & Emerging Tech (Remote)

CSAA

Maine

Remote

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

CSAA IG is seeking a Principal Software Engineer for Emerging Technology & AI. This remote role focuses on rapid prototyping, GenAI experiments, and scalable solutions, partnering with architecture and delivery teams to shape standards and enable enterprise adoption.

You will mentor engineers, design prototypes, and drive experiments from concept to reusable patterns, balancing speed with security and governance.

Qualifications

  • Bachelor's degree in computer science, engineering, technology, or related field, or equivalent combination of education and 10+ years of progressive experience in software engineering.
  • 10 years Software development experience.
  • Experience with cloud-native services and architectures (e.g., compute, storage, and database services).
  • Proficiency with build, integration, and deployment tools.

Responsibilities

  • Lead emerging tech experiments and translate ideas into prototypes and pilots.
  • Evaluate platforms, architectures, and APIs, and guide enterprise adoption decisions.
  • Mentor engineers and provide advanced technical guidance while coding as an IC.
  • Define design artifacts and reusable patterns per EA standards.
  • Plan time-boxed experiments with clear objectives and success criteria.
  • Collaborate with architecture, security, data, and business sponsors.

Skills

AI/GenAI
Cloud-native AWS
Java
Python
Node.js
JavaScript/TypeScript
React
Jenkins
Maven
Enterprise architecture

Education

Bachelor's degree + 10+ years experience

Tools

AWS Lambda
DynamoDB
S3
Jenkins
Maven
Docker
Kubernetes

Job description

CSAA IG is seeking a Principal Software Engineer for Emerging Technology & AI. This remote role focuses on rapid prototyping, GenAI experiments, and scalable solutions, partnering with architecture and delivery teams to shape standards and enable enterprise adoption.

You will mentor engineers, design prototypes, and drive experiments from concept to reusable patterns, balancing speed with security and governance.

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