AI Architect

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.

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, 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—embedding intelligent systems into business processes to accelerate execution, improve decision-making, and scale expertise across the organization.

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

Required

• 8+ 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

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

• 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
  
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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.