Back
Mid-level role in metro city with desirable AI skills, but engineering domain narrows candidate pool.
Requires chemical/process engineering and GHG emissions domain knowledge, limiting cross-industry transferability.
Explicit 5–10 years, engineering degree, GHG emissions experience and practical generative-AI skills required.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and pilot an AI-assisted workflow for generating Technology EVALUATE Booklet reports focused on GHG emissions technologies.
Convert existing report templates and methodologies into AI-ready instructions, prompts, and templates ensuring source traceability, confidentiality, and quality control.
Deliver reusable, documented workflows and pilot reports enabling efficient drafting without transferring accountability from human experts to AI.
Degree in process, chemical, mechanical, energy or equivalent engineering.
5 to 10 years recommended experience combining industrial engineering with applied digital or AI skills.
Practical experience with generative AI, prompt engineering, multi-document synthesis, and familiarity with Microsoft 365, SharePoint; knowledge of Copilot Studio, Power Automate or Python preferred.
Work Experience Required: 5 to 10 years recommended in technology assessment, engineering studies, R&D, or technical reporting.
Experienced in technology assessment and engineering reporting within decarbonization or GHG emissions domains.
Technical proficiency to translate complex engineering data into AI-driven repeatable workflows, emphasizing source traceability and quality.
Combines industrial engineering background with applied AI/digital automation skills, capable of collaborating with subject-matter experts to maintain human accountability over technical conclusions.