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Principal AI-Enabled Software Engineer (Principal Embedded Ai Engineer)

Hybrid in Houston, TX, US • Posted 14 hours ago • Updated 14 hours ago

Full Time

No Travel Required

Hybrid

175000 - 225000/yr

Improving Corporate Services

Fitment

Dice Job Match Score™

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Job Details

Skills

.NET
AngularJS
Artificial Intelligence
Continuous Delivery
Continuous Integration
Microsoft Azure
GitHub
React.js
Claude
GitHub Copilot
Jenkins
Azure DevOps
DevOps
IT Transformation
Professional Services
Software Engineering
Thought Leadership

Summary

Role Overview

The Principal AI-Enabled Software Engineer (Principal Embedded Ai Engineer) leads software engineering teams in strengthening the DLP and adopting AI-enabled development practices at scale. This role defines standards for AI-assisted development and architects solutions that combine emerging AI capabilities with proven software engineering principles.

The ideal candidate is a strong technical leader with deep software engineering expertise, hands-on experience with AI-assisted development tools, and a proven ability to guide enterprise clients through technology transformation.

Key Responsibilities

Lead and mentor engineering teams in AI-assisted development practices and tools
Define and establish standards, code quality guidelines, and security practices for AI-integrated workflows
Architect software solutions that effectively integrate AI capabilities with existing systems
Drive adoption of AI development tools (GitHub Copilot, Claude) and measure productivity impact
Collaborate with AI specialists and architects to identify integration opportunities
Guide enterprise clients through AI-enabled development transformation
Contribute to practice thought leadership on AI engineering

Requirements

Proven track record leading software engineering teams and delivering complex systems
Extensive hands-on experience with AI-assisted development tools (GitHub Copilot, Claude)
Strong judgment on when and how to effectively apply AI in development workflows
Experience measuring and optimizing developer productivity
Backend proficiency: .NET and one additional modern stack
Frontend proficiency: React, Angular, or equivalent
Data architecture knowledge across SQL, document, graph, and data warehouse options with demonstrated depth in at least two
Hands-on experience with Azure, IaC, and CI/CD tooling (Azure DevOps, GitHub, Jenkins)
Strong unit testing discipline and test-first approach
Deep expertise in modern software architecture patterns
Consulting or professional services background
Excellent communication and technical leadership abilities
Bachelor's degree in Computer Science or related field (or equivalent professional experience)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10263014
Position Id: 9081519
Posted 14 hours ago

Company Info

About Improving Corporate Services

Improving is the leading IT consulting and software engineering company in North America. We help enterprises and organizations solve their most complex technology challenges through modern software development, technology consulting, agile training, and team augmentation services. Whether your business needs to understand the impact of a new initiative, deploy a new application, or partner with a trusted firm that can assimilate into your team, Improving is here to help! We are dedicated to educating and supporting your business each step of the way.

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Tal Phillips

Recruiter @ Improving Corporate Services

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Hybrid in Houston, Texas

•

Today

Role OverviewImproving is seeking a hands-on AI Workflow Engineer to serve as an embedded builder within our AI-Native Operations initiative. This person will turn defined operational opportunities and technical specifications into production-ready AI agents and workflows. This role owns execution: identifying the specific operational target, building the agent or workflow, testing and hardening it, and shipping it into production.What You Will BuildThis role will develop and deliver both Stage

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Full-time

150000 - 200000

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