AI Architect Location: In-office, Monday 6Friday, core hours 8:00 AM 65:00 PM

Katy office: 15011 Katy Freeway, Houston, TX 77094

QISG leverages Quanta 6s comprehensive resources to deliver collaborative solutions for energy infrastructure needs. We bring together engineering, safety, quality, procurement, QA/QC, scheduling, environmental, permitting, and land management expertise to design and execute complex infrastructure projects with efficiency, consistency, and safety at the core.

We are now driving a major transformation in how work gets done through AI 6embedding intelligent systems into business processes to accelerate execution, improve decision-making, and scale expertise across the organization.

What You 6ll Do

As an AI Architect, you will design, build, and deploy AI-driven solutions that directly support business operations across QISG. You will work embedded with cross-functional teams to solve high-impact problems, rapidly prototype solutions, and turn proven ideas into scalable production systems.

You will:

• Lead high-impact AI engagements end-to-end, owning discovery, scoping, solution design, and delivery for complex, executive-visible initiatives
• Build rapid AI prototypes that demonstrate immediate business value and evolve into production-ready systems
• Productionize AI solutions, ensuring they are scalable, maintainable, secure, and usable in real operational environments
• Develop agentic workflows and AI-powered automation to streamline complex business processes across engineering, procurement, finance, legal, and operations
• Enable knowledge extraction and intelligence from unstructured and structured data sources (documents, spreadsheets, systems, and images)
• Automate and optimize manual workflows such as reporting consolidation, validation processes, document review, and operational tracking
• Mentor and upskill team members and business partners, helping drive broader AI adoption and capability across the organization
• Define and promote AI best practices, reusable patterns, and accelerators that improve speed and consistency across engagements

You will apply AI to real operational challenges such as:

• Building agentic workflows that streamline multi-step business processes
• Extracting structured insights from large volumes of technical documents and enterprise data
• Automating manual workflows such as invoice validation, reporting reconciliation, and backlog reduction
• Consolidating financial and operational reporting across multiple systems
• Enabling searchable knowledge systems for engineering, legal, and project teams
• Creating AI-powered tools that unlock new ways to discover, analyze, and act on enterprise data

What You 6ll Bring Required

• 8+ years of experience in software engineering, AI/ML engineering, data engineering, solutions architecture, or technical consulting
• Bachelor 6s 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 development practices
• Proficiency in modern programming languages such as Python and/or TypeScript/JavaScript
• Strong SQL skills and experience with relational databases and modern data platforms
• Hands-on experience building with modern AI systems including LLMs, RAG, agents, prompt engineering, and tool use frameworks
• Experience taking AI or ML systems from prototype to production, including monitoring, evaluation, governance, and scaling
• Demonstrated ability to lead complex, multi-stakeholder initiatives from problem definition through delivery and impact measurement
• Experience with at least one AI coding or agent tool (e.g., Claude Code, Cursor, Copilot, Codex)
• Awareness of enterprise security, data governance, and responsible AI practices
• Strong communication skills with the ability to engage executives, technical teams, and field stakeholders

Preferred

• Experience in energy, utilities, EPC, infrastructure, or construction environments
• Experience working directly with non-technical stakeholders in fast-paced delivery settings
• Familiarity with Claude, Anthropic APIs, MCP servers, or similar AI ecosystems
• Experience building reusable frameworks, accelerators, or internal platforms
• Background in customer-facing or embedded solution delivery roles

What You 6ll Get

• Competitive base salary

• Generous PTO & paid holidaysto maintain work-life balance

• 401(k) with a generous matchto plan for your future

• Comprehensive benefits 6 medical, dental, vision, and life insurance

• Weekly payfor consistent, reliable compensation

• Great mentoring & career growth opportunities 6 we invest in your development#LI-Remote