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Software Architect, Software Engineer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Quanta Infrastructure Solutions Group
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Software Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

About Us

QISG leverages Quanta’s comprehensive resources to deliver collaborative solutions for our partners' energy infrastructure needs. We use in-house talent, expertise and resources to plan, design, engineer, manage, conduct maintenance on and construct projects.

Our turnkey service capabilities provide our customers with efficiency, consistency, attention to detail and safe execution. The QISG team brings together Engineering, Safety, Quality, Material Procurement, QA/QC, Right-of-Way Acquisition, Scheduling, Environmental Planning, Permitting, Title and Land Management expertise that ensure outstanding results for our clients.

About this Role

AI Architect
Location: In-office, Monday–Friday, core hours 8:00 AM–5:00 PM

Katy office: 15011 Katy Freeway, Houston, TX 77094

QISG leverages Quanta’s comprehensive resources to deliver collaborative solutions for energy infrastructure needs. We bring together engineering, safety, quality, procurement, QA/QC, scheduling, environmental planning, permitting, and land management expertise to design and execute complex infrastructure projects with efficiency, consistency, and safety at the core.

We are actively modernizing how software is built and delivered across the organization, using cloud, data, and AI-driven technologies to accelerate execution and improve how teams work at scale.

What You'll Do

As a Software Architect, you will define and lead the technical foundation for how software is designed, built, deployed, and scaled across QISG. You will serve as the senior technical authority on high-impact initiatives, ensuring solutions are robust, secure, maintainable, and aligned to business needs.

You will:

  • Lead high-stakes software and AI engineering engagements end-to-end, from discovery and architecture through delivery and rollout
  • Define reference architectures, engineering standards, and reusable frameworks that guide how software is built across the organization
  • Establish best practices for CI/CD, testing, deployment, observability, versioning, and production support
  • Design and build full-stack solutions spanning frontend, backend, APIs, data systems, and integrations
  • Create scalable, production-grade platforms that enable analytics, automation, and AI-powered workflows
  • Ensure software solutions are secure, governed, and aligned with enterprise standards (identity, access control, data classification, and risk management)
  • Configure observability and monitoring for applications, including AI-enabled systems, to track performance, usage, and reliability
  • Mentor and elevate engineering teams through design reviews, pair programming, coaching, and technical leadership
  • Partner directly with executives and business leaders to translate strategy into scalable technical solutions
  • Continuously improve engineering maturity by introducing reusable assets, accelerators, and standardized patterns

You will focus on building and enabling enterprise-grade software capabilities such as:

  • Establishing engineering standards and software development best practices across teams
  • Designing and implementing CI/CD pipelines for rapid and reliable deployments
  • Building reusable frameworks, platforms, and accelerators that improve delivery speed over time
  • Developing full-stack applications that streamline workflows and enable better decision-making
  • Implementing observability, logging, and monitoring systems for both traditional and AI-driven applications
  • Partnering with business and technical stakeholders to ensure solutions are aligned with real operational needs
  • Capturing repeatable patterns into shared libraries and internal platforms to scale impact across engagements
What You'll Bring Required
  • 8+ years of experience in software engineering, solutions architecture, ML/AI engineering, or technical consulting
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or related field (or equivalent experience)
  • Strong software engineering fundamentals including version control, testing, CI/CD, and production‑grade system design
  • Strong proficiency in modern programming languages such as Python and/or JavaScript/Type Script
  • Experience designing and delivering full‑stack…
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