{"id":3366458,"url":"https://alion.io/job/energy-exemplar-director-cloud-architecture-delivery","title":"Director Cloud Architecture & Delivery","company":{"id":673046,"name":"Energy Exemplar","domain":"energyexemplar.com","url":"https://alion.io/company/energyexemplar","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":8,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA","MX","AI","AG","AW","BS","BB","BZ","BM","VG","BQ","KY","CR","CW","DM","DO","SV","GL","GD","GP","GT","HT","HN","JM","MQ","MS","NI","PA","PR","KN","LC","VC","PM","SX","TT","TC","VI"],"hiring_countries_total":38,"salary":null,"salary_estimate":{"min_usd":170000,"max_usd":381000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4188},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"FedRAMP","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"HPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"NERC CIP","optional":false},{"name":"PLEXOS","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T21:27:08Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T09:00:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Energy Exemplar\nIn 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. \nOur impact is global and is being recognized across the industry. Some of our recent accolades include:\nSaaS Company of the Year (2025) - Global Business Tech Awards.\nEnvironmental Impact Award (2025) - E+E Leaders Awards.\nIPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners\nFinalist: Platts Global Energy Awards (2024) - Grid Edge category\nFinalist: Reuters Global Energy Transition Awards (2024) - Technologies of Change\nTop 50 Marketing Team (2024) - Voted by the public at the ICON Awards.\nHow We Work\nEnergy 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.\nWe’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.\nOur 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.\nAbout the Position \nThe 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. \nThe 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. \nKey Responsibilities \nBuild and lead a forward-deployed engineering capability that works closely with customer technical and business teams to translate priority use cases into deployed solutions. \nEmbed 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. \nAct 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. \nPartner 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. \nDefine acceptance criteria with customers and validatedeployed 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. \nOwn 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. \nLeadthe 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. \nSet guardrails for agentic deployments in regulated environments: agent identity and permissions, tool-use boundaries, evaluation harnesses, observability, and audit trails. \nLead 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. \nEstablish 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. \nPartner with Product Engineering to turn repeatable customer implementation patterns into supported product capabilities, reusable integrations, and deployment assets. \nSkills and Experience \n12+ years in enterprise technology, including 7+ years designing and delivering production cloud architectures for enterprise or regulated customersin large or mid-sized organizations. \nExperience 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. \nStrong customer-facing pre-sales experience supporting complex enterprise software opportunities, including technical discovery, solution validation and RFI or RFP responses. \nDeep expertisein 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. \nExperiencedesigning AI agent engineering in production, includingLLM application and agent orchestration frameworks, retrieval and tool integration, evaluation and monitoring, and model governance. \nAbility to connect architecture decisions to customer business objectives, commercial valueand delivery feasibility, including cost and risk considerations. \nStrong understanding of enterprise integrations, REST/GraphQL,APIs and data flows, alongside cloud performance, scalability, governanceand cost optimization. \nExecutive presence, communicationand the ability to lead architecture and risk conversations with CIOs, CISOs, enterprise architects, and procurement at utilities, ISOs/RTOs, and developers. \nA Bachelor’sdegree in Computer Science, Software Engineering, Computer or Electrical Engineering, Information Systems, or a relatedtechnical field. \nDesirable Experience \nMaster's degree in a technical or business discipline (MS, MEng, MBA) or equivalent demonstratedsenior-level experience. \nCurrent professional-level cloud architecture certification: Microsoft Certified: Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional, or Google Professional Cloud Architect. \nWorking 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. \nDirect 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. \nExperience migrating on-premises, compute-intensive analytical software to cloud or SaaS delivery, including customer change management and license-model transitions. \nExperience building or scaling a pre-sales architecture capability and supporting cloud adoption across enterprise customers. \nMeasures of Success \nStrong technical win rates and effective resolution of architecture and security objections in supported opportunities. \nProofs of concept meet agreed success criteria and help customers make informed decisions. \nProposed solutions are feasible, well documented and handed over clearly to delivery teams. \nReusable architectures and enablement improve pre-sales efficiency and technical capability. \nEnergy 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.\nEnergy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. 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