Software Architect at Quanta Infrastructure Solutions Group, LLC

Houston, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Architecture, AI Engineering, Python, JavaScript, TypeScript, CI/CD, Full-stack Development, LLMs, RAG, Prompt Engineering, System Design, Enterprise Security, Observability, API Design, Cloud Computing, Technical Leadership

Industry

Construction

Description

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/TypeScript Experience designing and delivering full-stack systems in production environments Working knowledge of enterprise security principles including IAM, data classification, and system governance Experience with modern AI and software engineering tools including LLMs, agents, RAG, prompt/context engineering, and AI-assisted development Proven experience taking systems from prototype to production, including monitoring, evaluation, scaling, and reliability engineering Demonstrated ability to lead complex, multi-stakeholder technical initiatives with measurable business impact Strong executive communication skills with the ability to translate technical decisions into business outcomes Preferred Experience in energy, utilities, EPC, infrastructure, or other field-based industries Experience building scalable internal platforms, frameworks, or developer accelerators Experience establishing engineering practices in fast-scaling or transformation environments Exposure to Claude, Anthropic APIs, or AI-native development tooling Experience in forward-deployed or customer-facing engineering roles What You'll Get Competitive base salary Generous PTO & paid holidays to maintain work-life balance 401(k) with a generous match to plan for your future Comprehensive benefits – medical, dental, vision, and life insurance Weekly pay for consistent, reliable compensation Great mentoring & career growth opportunities – we invest in your development#LI-Remote 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 or to perform the essential functions of a position, please contact us the Company’s Human Resources department.

Responsibilities

Define and lead the technical foundation for software design, deployment, and scaling across the organization. Serve as the senior technical authority for high-impact AI and software engineering initiatives to ensure robust and secure solutions.