Midstream)

Candid Intelligence•Houston, TX

About The Position

Candid is building the AI layer for EPCs and owner operators. We use AI to reduce the manual effort behind preconstruction engineering by automating document understanding, consistency checks, and repetitive workflow steps across major disciplines. The goal is to make preconstruction 10x faster without sacrificing engineering quality. We recently raised $6.5M from top AI and industrial investors (including Schneider Electric and Meta’s Chief AI Scientist). Our team includes engineers from MIT, Carnegie Mellon, major LNG and power projects, and leading EPCs. Why This Role Exists We need someone who has lived inside pre-FEED and FEED — who knows what a design basis package actually looks like at 3 AM before a gate review, who has directed process engineers through datasheet population cycles, and who has felt the pain of repeatedly doing this every time from scratch. You are not here to manage a backlog. You are here to direct real project delivery for Candid’s clients while simultaneously shaping the AI tools that will redefine how this work gets done. You will be the bridge between deep engineering domain knowledge and a product team building at startup speed.

Requirements

15+ years in capital project execution, with significant time in LNG, gas-to-power, power generation, midstream, or petrochemical facilities
You have directed or led Pre-FEED / FEED / Concept Select phases end-to-end — not just participated, directed
Deep fluency in FEL stage-gate processes, PDRI, design basis development, process engineering deliverables, and the full document ecosystem that feeds datasheets (Process Design Basis Memorandum, Line Lists, P&IDs, HAZOP outputs, Corrosion/Materials Selection Studies, Utility Summaries, licensor Process Data Books)
Comfort with relevant standards: API 660, API 610, API 617, TEMA, NACE MR0175, GPSA Data Book
You have worked on the EPC side, the owner/operator side, or both — either way, you understand the interface and the tension between them
Strong opinions on where engineering hours get wasted, where errors propagate, and what should be automated
You are not threatened by AI — you are excited by it. You see the waste in current workflows and want to fix it.

Nice To Haves

Experience with multiple licensors and their Process Data Book formats
Background in AWP (Advanced Work Packaging) or modular execution strategies
Familiarity with process simulation outputs (even if you’re not running HYSYS yourself)
Direct experience managing multi-discipline engineering teams across process, mechanical, piping, and instrumentation
Relationships in the Houston EPC/owner-operator ecosystem

Responsibilities

Direct Pre-FEED / FEED delivery engagements for Candid’s clients across LNG, gas-to-power, power generation, midstream, and downstream/petrochemical projects
Own the assembly and quality of design basis packages, process basis documents, and supporting deliverables (line lists, P&IDs/PFDs, equipment datasheets, utility summaries, relief load summaries, materials selection studies)
Serve as the authoritative engineering voice in client conversations — project development managers, VPs of Projects, and heads of engineering who will look to you for understanding the work
Work directly with our product and AI engineering team to translate real pre-FEED and FEED workflows into automation targets — what takes 600 hours today should take 60 tomorrow
Identify and flag inconsistencies, gaps, and quality issues that our AI tools should catch automatically
Advise on project execution strategy, PDRI scoring, and gate review readiness for client engagements
Help shape Candid’s delivery methodology and standards as we scale from early clients to a repeatable practice