Software Architect - Houston, TX; Office Based

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.

Location: Katy, TX — In Office
Schedule: Monday–Friday | Core hours: 8:00 AM–5:00 PM
Office: 15011 Katy Freeway, Houston, TX 77094
Experience: 8+ years
Work Authorization: QISG does not offer visa sponsorship of any kind for this position. Candidates must be authorized to work in the U.S. without current or future sponsorship.

QISG is seeking a Software Architect to help lead software engineering excellence and develop technical solutions that drive the organization’s AI transformation.

This is a senior, hands‑on architecture role for someone who can move comfortably between technical strategy, software architecture, hands‑on development, and business engagement
. You will lead complex and high‑impact initiatives, establish engineering standards, mentor technical team members, and help shape how AI‑powered solutions are designed, deployed, and maintained across QISG.

You will work directly with QISG executives, business leaders, project managers, and field personnel, translating business needs into scalable technical solutions. Strong communication and the ability to make complex technical concepts accessible to non‑technical stakeholders are essential.

• Lead high-priority AI and software engagements from discovery and scoping through delivery and implementation.
• Define and maintain reference architectures, deployment standards, evaluation frameworks, and reusable technical accelerators.
• Establish engineering standards for code review, testing, deployment, monitoring, on‑call, and incident response.
• Build and architect full‑stack solutions spanning data, backend, frontend, integrations, and AI capabilities.
• Develop CI/CD pipelines that support reliable deployment of production‑ready applications.
• Establish standards and tools that improve developer productivity and solution quality.
• Design observability and monitoring for AI‑powered applications.
• Mentor engineers through technical reviews, pair programming, code reviews, and structured development.
• Partner with executives and business leaders to identify opportunities where technology can deliver measurable business value.
• Continuously improve the technical maturity, scalability, security, and maintainability of QISG’s AI solutions.

• Enterprise AI and software applications
• LLMs, agents, RAG, and AI‑assisted development
• Full‑stack applications supporting business workflows and analytics
• Enterprise integrations and data solutions
• CI/CD and deployment infrastructure
• AI application monitoring and observability
• Reusable platforms, frameworks, and development accelerators
• Solutions designed to scale from proof of concept to enterprise‑wide deployment

• 8+ years of progressive experience in software engineering, ML/AI engineering, solutions engineering, or technical consulting.
• Bachelor’s degree in computer science, engineering, information systems, mathematics, or related field, or equivalent professional experience.
• Strong software engineering fundamentals, including version control, code review, automated testing, CI/CD, and production‑quality development.
• Strong programming skills in modern languages used for AI solutions, such as Python and JavaScript/Type Script .
• Working knowledge of enterprise security, data classification, identity and access management, and AI‑specific risks.
• Experience with modern AI technologies, including LLMs, agents, RAG, context engineering, prompt engineering, and AI‑assisted development
  .
• Experience scaling software…