Software Architect
Not Disclosed•Full-TimeOn-site
location_on19279, Evendale Court, Green Trails, Harris County, Texas, 77094, United States
About QISG
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.
Our turnkey service capabilities provide customers with attention to detail and safe execution. The team integrates diverse expertise to ensure outstanding results for our clients across the energy sector.
About the Role
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.
As an AI 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. This role focuses on building enterprise-grade software capabilities, establishing engineering standards, and creating reusable frameworks that improve delivery speed. You will partner directly with executives to translate strategy into scalable technical solutions while mentoring engineering teams through design reviews and technical leadership.
Location & Work Model
Location: In-office, Monday–Friday, core hours 8:00 AM–5:00 PM
Office Address: Katy office: 15011 Katy Freeway, Houston, TX 77094
Equal Opportunity Employer
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status. We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes, please contact the Company's Human Resources department.
Work location
Work model: On-site
Similar Job Opportunities
Skills, education and keywords
Skills: Python, Javascript, Typescript, Ci/cd, Iam, LLMS, Agents, Rag, Prompt Engineering, Context Engineering.
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field (or equivalent experience).
Frequently asked questions about Software Architect at Quanta Services, Inc.
What does a Software Architect at Quanta Services, Inc. do?expand_more
In this Software Architect at Quanta Services, Inc. role, you will lead high-stakes software and ai engineering engagements from discovery through delivery; define reference architectures, engineering standards, and reusable frameworks; establish best practices for ci/cd, testing, deployment, and production support; and design and build full-stack solutions spanning frontend, backend, apis, and data systems.
What are the requirements for this Software Architect role?expand_more
Quanta Services, Inc. is looking for candidates who meet the following requirements: 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 proficiency in Python and/or JavaScript/TypeScript; Experience designing and delivering full-stack systems in production environments; Working knowledge of enterprise security principles including IAM, data classification, and system governance; and Experience with modern AI and software engineering tools including LLMs, agents, RAG, prompt/context engineering, and AI-assisted development.