AI/Data Architect – Houston, TX (Onsite)

Quanta Infrastructure Solutions Group, LLC•Houston, TX

4d•Onsite

About The Position

QISG is investing in AI to transform how our teams plan, build, operate, and manage complex infrastructure projects. We’re looking for an AI/Data Architect who can turn ambitious ideas into working solutions — quickly, responsibly, and at scale. This is not a role where you’ll spend your days writing strategy decks about what AI could do. You’ll work directly with business leaders, engineers, and field teams to identify real problems, build prototypes, prove value, and turn successful solutions into production-ready tools. As our AI/Data Architect, you’ll be a senior technical leader helping shape the next generation of AI-enabled operations at QISG. You’ll move between strategy and execution — one day working with an executive to identify an opportunity, the next pair-programming a prototype, and later architecting a scalable solution that becomes part of how the organization operates. You’ll have the autonomy to experiment, the technical challenges to stay engaged, and the opportunity to see your work create measurable business impact.

Requirements

8-12 years of experience in software engineering, AI/ML engineering, data engineering, solutions architecture, 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 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
Candidates must be authorized to work in the U.S. without current or future sponsorship.

Nice To Haves

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

Responsibilities

Build agentic workflows that automate complex business processes
Extract knowledge from thousands of technical PDFs, spreadsheets, images, and other documents
Automate manual processes such as receipt capture and billable-rate validation
Reduce operational backlogs and eliminate repetitive work
Consolidate financial reporting across enterprise systems
Create intelligent document search and contract-analysis capabilities
Give teams faster access to the information they need to make decisions
Create AI-powered capabilities that simply weren’t possible before