Position Overview Enertis Applus is expanding its interconnection advisory and grid strategy capabilities and seeks a senior Interconnection, Grid & Power Systems Principal / Subject Matter Expert (SME) to serve as the firm’s primary technical authority and external-facing advisor on grid integration for utility-scale generation, large electrical loads (including data centers), hybrid power systems, and multi-technology microgrids. This role anchors Enertis Applus’ credibility with utilities, ISOs/RTOs, lenders, investors, developers, and large power users, shaping how interconnection risk, grid compliance, reliability, and power-system architecture are evaluated, mitigated, and communicated across development, financing, and execution. The SME defines Enertis Applus’ technical philosophy for grid integration across both supply-side and demand-side projects, translating evolving regulatory, reliability, and market requirements into defensible, bankable guidance for clients and internal teams. Key Responsibilities Interconnection & Grid Advisory - Serve as Enertis Applus’ lead advisor on interconnection strategy for wind, solar, BESS, hybrid projects, large electrical loads (data centers, industrial campuses), and behind-the-meter or grid-connected microgrids - Advise clients on interconnection feasibility, queue and study risk, cost exposure, schedule drivers, and mitigation strategies for both generation and large-load interconnections - Provide guidance on grid integration of co-located generation and load, islandable microgrids, and multi-technology power systems combining renewable, storage, thermal, and backup generation assets - Support clients evaluating dedicated generation supply for data centers, private transmission solutions, or hybrid grid/behind-the-meter configurations Market, Standards & Reliability Leadership - Monitor and interpret evolving ISO/RTO rules, NERC requirements, IEEE standards, and utility criteria impacting renewable interconnection as well as large load integration and reliability requirements for critical infrastructure - Track implications of standards such as IEEE 1547/2800, NERC reliability frameworks, large-load connection requirements, and emerging reliability standards tied to high-density electrical deman - Serve as internal authority on grid reliability and system stability considerations for high-impact load clusters and hybrid generation-load systems Thought Leadership & External Representation - Represent Enertis Applus as a recognized authority on grid integration of renewable generation, storage, and emerging high-density loads such as data centers - Author whitepapers and advisories on grid capacity constraints, transmission access strategies, and evolving power-system architectures driven by electrification and digital infrastructure growth Standards, Templates & Technical Enablement - Define IE/OE technical standards for interconnection facilities, POI substations, and large-load substations, private transmission assets, and microgrid interface designs - Develop evaluation frameworks for hybrid generation-load systems, microgrids, and reliability-critical facilities Client & Stakeholder Engagement - Serve as escalation point for complex discussions involving large-load interconnection, dedicated supply strategies, grid reliability for mission-critical facilities, and hybrid power system design Ideal Profile Experience - 8+ years in Independent Engineering, Owner’s Engineering, utility, ISO/RTO, grid advisory, large-load integration, transmission planning, data-center power systems, or microgrid engineering Technical & Regulatory Depth - Deep understanding of interconnection processes, screening criteria, EMT models for IBRs, advanced grid support (AGS) and ridethrough requirements, protection philosophies, and commissioning workflows across generation assets, high-density loads, and hybrid power systems Preferred Background - Experience at tier-one consultancies, utilities, reliability organizations, ISOs/RTOs, data-center developers, hyperscale infrastructure firms, or engineering firms specializing in large-load power systems - Familiarity with project finance and lender expectations for grid-connected assets or large-scale energy infrastructure supporting critical operations What Success Looks Like - Interconnection Authority Established – Enertis Applus is engaged early by clients for generation interconnection, large-load integration, and hybrid system strategy - Client Impact – Demonstrated ability to reduce grid-access risk and system-design uncertainty for both generation projects and energy-intensive infrastructure

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous electrical engineering problems reflecting professional practice. - Evaluate AI solutions for correctness, assumptions, and constraints. - Validate calculations or simulations using Python (NumPy, Pandas, SciPy). - Improve AI reasoning to align with industry-standard logic. - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. - 3+ years of professional electrical engineering experience - Strong written English (C1/C2) • Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous electrical engineering problems reflecting professional practice. - Evaluate AI solutions for correctness, assumptions, and constraints. - Validate calculations or simulations using Python (NumPy, Pandas, SciPy). - Improve AI reasoning to align with industry-standard logic. - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. - 3+ years of professional electrical engineering experience - Strong written English (C1/C2) • Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous electrical engineering problems reflecting professional practice. - Evaluate AI solutions for correctness, assumptions, and constraints. - Validate calculations or simulations using Python (NumPy, Pandas, SciPy). - Improve AI reasoning to align with industry-standard logic. - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. - 3+ years of professional electrical engineering experience - Strong written English (C1/C2) • Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.