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Candid Intelligence

Internal AI agent for EPC projects

Director of Engineering Delivery - Power Generation, Gas-to-Power

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHouston, TX, USAHybrid

About the Job

Requirements

  • 15+ years in capital project execution, with significant experience in power generation, gas-to-power, LNG, midstream, or petrochemical facilities.
  • Has directed or led Pre-FEED, FEED, or Concept Select phases end to end.
  • Direct experience leading power or gas-to-power projects, including combined cycle, simple cycle, cogeneration, or gas-to-power for data center and behind-the-meter campuses.
  • Experience managing multidisciplinary engineering teams across process, mechanical, piping, electrical, and instrumentation disciplines.
  • Deep fluency in FEL stage-gate processes, PDRI, AACE cost estimate classes, design basis development, and the document ecosystem that supports a gate review.
  • Fluency in applicable project codes and frameworks, including ASME, API, IEEE, NFPA, and relevant power and interconnection standards.
  • Strong views on engineering inefficiencies, error propagation, and automation opportunities.
  • Comfort operating lean, with ambiguity and without bureaucracy.
  • Interest in applying AI to improve engineering workflows.

Responsibilities

  • Direct Pre-FEED and FEED engagements for clients across power generation, gas-to-power, LNG, midstream, and downstream projects.
  • Lead and manage the discipline engineering team across process, electrical, mechanical, and piping; set quality standards and own delivery quality end to end.
  • Own the assembly and quality of design basis packages, heat and mass balances, single-lines, equipment lists, P&IDs and PFDs, datasheets, utility summaries, and gate-review packages.
  • Represent engineering in client conversations with project development managers, VPs of Projects, and heads of engineering.
  • Work with the product and AI team to turn Pre-FEED and FEED workflows into automation targets.
  • Review Candid’s automated outputs, identify issues before client delivery, and provide feedback to improve the product.
  • Advise on execution strategy, PDRI scoring, and gate-review readiness for client engagements.
  • Shape Candid’s delivery methodology and standards as the practice scales.
  • Personally contribute to engineering work and own quality when needed.

Desired Qualifications

  • Direct experience on data center or behind-the-meter power campuses.
  • Owner’s engineer experience or experience on both the EPC and owner-operator sides.
  • Background in Advanced Work Packaging (AWP) or modular execution.
  • Familiarity with turbine OEM selection and packaging at a program level, including GE Vernova, Siemens Energy, or Mitsubishi Power.
  • Comfort reading process simulation outputs, even without operating the tools.
  • Relationships in the Houston EPC and owner-operator ecosystem.
  • Multi-sector experience across LNG, midstream, and downstream projects.

About the Company

Candid Intelligence

Internal AI agent for EPC projects

Candid Intelligence builds an internal AI agent platform for EPC projects, focusing on data centers and process plants to shorten pre-construction work. It ingests engineering documents such as P&IDs with vision and language models to extract data from PDFs, then structures data into knowledge graphs and ontologies on the client’s own infrastructure. An orchestration layer uses multiple agents to coordinate workflows, resolve toolchain inconsistencies, and keep AI processes auditable with humans in the loop. The goal is to cut pre-construction timelines while keeping data secure and under client control, differentiating through on-premise processing, structured data models, and a partner-based, builder-led model.

Company size
1-10
Company stage
Seed
Total funding
$5.5M
Headquarters
San Francisco, CA
Founded
Not listed

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