[All remote jobs](https://jobicy.com/jobs.md)[![Energy Exemplar logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/6aceab7de5ff-221.webp)](https://jobicy.com/company/energy-exemplar.md)[Energy Exemplar](https://jobicy.com/company/energy-exemplar.md) # Director Cloud Architecture & Delivery AI Summary Energy Exemplar is seeking a senior technical leader to build and lead a forward-deployed cloud architecture and delivery function for enterprise energy-sector customers. The role combines Azure-first cloud architecture, multi-cloud engineering, AI agent deployment, technical pre-sales, and people leadership. The Director will own reference architectures, security and compliance responses, proofs of concept, and the transition from pre-sales commitments into post-sales delivery. Success requires deep expertise in production cloud platforms, enterprise integrations, regulated environments, and executive-level customer engagement. This remote US-based role includes up to 30% travel across North America and LATAM.[Apply for this job](#job-application)[View company](https://jobicy.com/company/energy-exemplar.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceDirectorPublished14 Nov 2026Apply before14 Dec 2026Listing views39Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. About [Energy Exemplar](https://jobicy.com/company/energy-exemplar.md) In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry. Some of our recent accolades include: * SaaS Company of the Year (2025) – Global Business Tech Awards. * Environmental Impact Award (2025) – E+E Leaders Awards. * IPPAI (Independent Power Producers Association of India) Power Awards (2025) – Winners * Finalist: Platts Global Energy Awards (2024) – Grid Edge category * Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change * Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast and that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move. We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together. About the Position The Director of Cloud Architecture & Delivery builds and leads the cloud architecture and forward-deployed engineering capability that enables Energy Exemplar’s Solutions (pre-sales) organization to win and launch cloud-hosted and AI-enabled customers. This role builds and leads a team that works directly with customers to design, integrate, deploy, and validate cloud solutions and AI agents in customer environments. The position sits at the intersection of four disciplines: enterprise cloud architecture (Azure-first, multi-cloud fluent), energy-market software (PLEXOS, Aurora, Adapt2, and the PLEXOS Intelligence layer), applied AI and agentic systems, and consultative pre-sales. Utilities, ISOs/RTOs, developers, and regulators look to the Director for how Energy Exemplar’s platform and AI agents run securely and at scale alongside their own cloud estates. The role owns the technical cloud and AI deployment in every pursuit: reference architectures, security and compliance responses, proof-of-concept environments, and the delivery plan that turns commitments made during the sales process into a practical, successful cloud and AI onboarding. The Director reports to the Vice President, Solutions (Americas) and sits within the Presales Solutions team. Partnering with Sales, Solutions, and Services, the Director shapes solutions for complex opportunities, leads technical conversations with senior customer stakeholders, and builds confidence in proposed architectures. The role works day to day with Sales and Account Directors, Solutions Engineers, Product and Engineering (PLEXOS Cloud and PLEXOS Intelligence), Post Sales Services, Customer Success, Information Security, and cloud platform partners to establish repeatable approaches to technical discovery, solution design, and validation, guide cloud migration and deployment planning, ensure a clear, practical handover into post-sales delivery, and build internal architectural expertise through coaching, enablement, and technical standards. It is a remote, United States-based Director-level position, a people-leader role that still expects individual-contributor depth, with travel of up to 30% for onsite customer meetings, executive briefings, and industry events across North America and LATAM. Key Responsibilities * Build and lead a forward-deployed engineering capability that works closely with customer technical and business teams to translate priority use cases into deployed solutions. * Embed with customer teams, on site and in their cloud tenants, to design, integrate, and deploy AI agents and agentic workflows built on PLEXOS Intelligence, including integration with customer data, enterprise systems, APIs, and Energy Exemplar products. * Act as the senior cloud and AI technical advisor to customers and prospects (utilities, ISOs/RTOs, IPPs, and consultancies), engaging CIOs, CTOs, CISOs, enterprise architects, and IT leaders to build confidence and resolve technical objections. * Partner with Sales and Pre Sales on technical deal strategy, architecture workshops, and demonstrations; scope and guide proofs of concept and pilots with clear success criteria, from environment build and data onboarding through executive readout. * Define acceptance criteria with customers and validate deployed agents and solutions against the agreed success criteria (accuracy, performance, security, and human-in-the-loop controls), with evidence customers can take to their governance and risk teams. * Own the cloud reference architectures for PLEXOS Cloud, PLEXOS Intelligence, and adjacent AI agents and products as deployed for customers: landing zones, identity and access, networking, data residency, high-performance compute for large nodal and stochastic runs, and cost models. * Lead the pre-sales-to-Services handoff for cloud and AI deals: deployment plan, architecture decision record, risk register, and onboarding timeline agreed with Post Sales Services before contract signature. Develop migration roadmaps and delivery estimates with Services and Engineering, documenting assumptions, risks, and responsibilities before commitments are made, and provide architecture oversight for complex implementations so the proposed solution carries through to delivery. * Set guardrails for agentic deployments in regulated environments: agent identity and permissions, tool-use boundaries, evaluation harnesses, observability, and audit trails. * Lead cloud and AI architecture input into RFIs, RFPs, security reviews, vendor risk assessments, and proposals, coordinating specialist input and ensuring responses are accurate and achievable; lead customer discussions on SOC 2, ISO 27001, NERC CIP adjacency, FedRAMP-equivalent expectations, and CEII handling, and maintain a current response library with Information Security. * Establish reusable discovery frameworks, technical materials, agent templates, and deployment patterns (SaaS, customer-tenant, hybrid), including integration with customer data platforms (Databricks, Snowflake, Fabric, on-prem SQL) and API/automation patterns for model orchestration, plus runbooks and environment-as-code templates that make repeatable launches the default. * Partner with Product Engineering to turn repeatable customer implementation patterns into supported product capabilities, reusable integrations, and deployment assets. Skills and Experience * 12+ years in enterprise technology, including 7+ years designing and delivering production cloud architectures for enterprise or regulated customers in large or mid-sized organizations. * Experience leading engineers embedded in customer implementations (forward-deployed, field engineering, or customer-embedded delivery teams), taking AI and data solutions from use case to production while managing customer expectations, scope, and handover. * Strong customer-facing pre-sales experience supporting complex enterprise software opportunities, including technical discovery, solution validation and RFI or RFP responses. * Deep expertise in at least one hyperscaler (Azure preferred) and working fluency across AWS and GCP: compute (VMs, Kubernetes, batch/HPC), storage, networking, identity (Entra ID, SSO/SAML/OIDC, SCIM), and managed data services. * Experience designing AI agent engineering in production, including LLM application and agent orchestration frameworks, retrieval and tool integration, evaluation and monitoring, and model governance. * Ability to connect architecture decisions to customer business objectives, commercial value and delivery feasibility, including cost and risk considerations. * Strong understanding of enterprise integrations, REST/GraphQL, APIs and data flows, alongside cloud performance, scalability, governance and cost optimization. * Executive presence, communication and the ability to lead architecture and risk conversations with CIOs, CISOs, enterprise architects, and procurement at utilities, ISOs/RTOs, and developers. * A Bachelor’s degree in Computer Science, Software Engineering, Computer or Electrical Engineering, Information Systems, or a related technical field. Desirable Experience * Master’s degree in a technical or business discipline (MS, MEng, MBA) or equivalent demonstrated senior-level experience. * Current professional-level cloud architecture certification: Microsoft Certified: Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, or Google Professional Cloud Architect. * Working knowledge of the North American power sector: ISO/RTO market structures (PJM, MISO, ERCOT, CAISO, SPP, NYISO, ISO-NE), utility IRP and transmission planning cycles, and the data-governance expectations that come with CEII and market-sensitive data. * Direct experience with energy market simulation, production cost, capacity expansion, or resource adequacy tools (PLEXOS, Aurora, PROMOD, GridView, EnCompass, or similar), or with ETRM platforms such as Adapt2. * Experience migrating on-premises, compute-intensive analytical software to cloud or SaaS delivery, including customer change management and license-model transitions. * Experience building or scaling a pre-sales architecture capability and supporting cloud adoption across enterprise customers. Measures of Success * Strong technical win rates and effective resolution of architecture and security objections in supported opportunities. * Proofs of concept meet agreed success criteria and help customers make informed decisions. * Proposed solutions are feasible, well documented and handed over clearly to delivery teams. * Reusable architectures and enablement improve pre-sales efficiency and technical capability. Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we’re here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us. Show more [Apply now >](https://jobicy.com/jobs/162131-director-cloud-architecture-delivery.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly senior role requiring both strategic leadership and hands-on technical depth across cloud, AI, security, pre-sales, and delivery. The successful candidate must influence executives, lead customer-facing engineers, and manage complex deployments in regulated energy environments. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$210,000US market range (per year)$185k–$250k0$275k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The annual period is inferred from the senior, full-time US Director-level role. Estimated US market compensation for comparable cloud architecture and technical pre-sales leadership positions is approximately $185,000 to $250,000 annually, excluding bonus, commission, and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Cloud architecture](https://jobicy.com/jobs?search_keywords=Cloud%20architecture.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[AI agent engineering](https://jobicy.com/jobs?search_keywords=AI%20agent%20engineering.md)[Enterprise integrations](https://jobicy.com/jobs?search_keywords=Enterprise%20integrations.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[Identity and access management](https://jobicy.com/jobs?search_keywords=Identity%20and%20access%20management.md)[Cloud security](https://jobicy.com/jobs?search_keywords=Cloud%20security.md)[Technical pre-sales](https://jobicy.com/jobs?search_keywords=Technical%20pre-sales.md)[Solution architecture](https://jobicy.com/jobs?search_keywords=Solution%20architecture.md)[People leadership](https://jobicy.com/jobs?search_keywords=People%20leadership.md)[Energy market software](https://jobicy.com/jobs?search_keywords=Energy%20market%20software.md)[RFP responses](https://jobicy.com/jobs?search_keywords=RFP%20responses.md) Sample interview questionsHow would you establish a repeatable forward-deployed engineering capability for enterprise cloud and AI deployments?I would define a clear engagement model spanning discovery, architecture, proof of concept, deployment, validation, and handoff. I would standardize reference architectures, environment-as-code templates, security artifacts, acceptance criteria, and delivery playbooks while retaining flexibility for customer-specific constraints. Metrics would include time to validated proof of concept, technical win rate, deployment quality, and post-sales handoff completeness. How do you approach designing an AI agent deployment for a regulated customer environment? I begin with the business use case, data classification, user roles, and required human oversight. I then design identity controls, least-privilege tool access, retrieval boundaries, evaluation criteria, observability, audit trails, and incident-response processes. The deployment must provide measurable accuracy and safety evidence that the customer can present to governance, risk, and security stakeholders. Describe how you would address a customer's cloud security objection during a complex sales cycle. I would first identify the specific risk behind the objection, such as identity, data residency, network isolation, logging, or third-party access. I would map the proposed controls to the customer's standards and provide an achievable architecture, supporting evidence, documented assumptions, and any remaining shared responsibilities. If a gap exists, I would communicate it transparently and define a practical mitigation plan rather than overcommitting. How do you ensure that pre-sales solution commitments can be delivered successfully by post-sales teams? I involve Services, Engineering, Security, and Customer Success early in complex pursuits. Before contract signature, I document the target architecture, scope boundaries, dependencies, migration approach, risks, estimates, acceptance criteria, and ownership in a formal handoff package. This creates shared accountability and ensures commercial commitments remain technically feasible. What factors guide your choice between a SaaS, customer-tenant, or hybrid deployment model? I evaluate regulatory requirements, data residency, integration complexity, customer security policies, operational ownership, performance needs, and total cost of ownership. SaaS is often best for speed and operational consistency, while customer-tenant or hybrid models may be necessary for sensitive data, network constraints, or specialized compute requirements. The recommendation should clearly explain trade-offs, implementation effort, and long-term support implications. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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