Director, Cloud Architecture & Delivery

Job not on LinkedIn

🕒 6 days ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

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👻 Ghost score 11%

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Energy Exemplar

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1999

⚡ Energy

☁️ SaaS

💰 Private Equity Round on 2017-10

Energy • SaaS

Energy Exemplar is a global leader in energy market simulation and analytics. The company offers the cloud-native platform PLEXOS, which allows organizations to model and simulate energy market scenarios, co-optimizing resources across various commodities such as electricity, gas, hydrogen, and water. Energy Exemplar focuses on providing sophisticated tools for long-term planning, forecasting, and decision making in the energy industry, supporting stakeholders within the financial services sector as well as other players in the energy market. Their solutions enhance the ability to predict and navigate energy futures in an integrated and efficient manner, while also offering comprehensive datasets and world-class training programs for energy professionals worldwide.

📋 Description

• Build and lead a forward-deployed engineering capability working with customer technical and business teams to translate priority use cases into deployed solutions • Design, integrate, deploy, and validate AI agents and agentic workflows built on PLEXOS Intelligence in customer environments • Advise customers and prospects as the senior cloud and AI technical advisor, engaging executive and technical stakeholders • Partner with Sales and Pre Sales on technical deal strategy, architecture workshops, demonstrations, proofs of concept, and pilots • Define acceptance criteria and validate deployed agents and solutions for accuracy, performance, security, and human-in-the-loop controls • Own cloud reference architectures for PLEXOS Cloud, PLEXOS Intelligence, and adjacent AI agents and products • Lead pre-sales-to-Services handoffs, including deployment plans, architecture decision records, risk registers, onboarding timelines, migration roadmaps, and delivery estimates • Set guardrails for agentic deployments in regulated environments, including identity, permissions, tool-use boundaries, evaluation, observability, and audit trails • Lead cloud and AI architecture input into RFIs, RFPs, security reviews, vendor risk assessments, and proposals • Establish reusable discovery frameworks, technical materials, agent templates, deployment patterns, runbooks, and environment-as-code templates • Partner with Product Engineering to turn customer implementation patterns into supported product capabilities, integrations, and deployment assets • Report to the Vice President, Solutions (Americas) within the Presales Solutions team and collaborate across Sales, Solutions, Services, Engineering, Product, Security, Customer Success, and cloud partners

🎯 Requirements

• 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, 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/RFP responses • Deep expertise in at least one hyperscaler (Azure preferred) and working fluency across AWS and GCP, including compute, Kubernetes, storage, networking, identity, and managed data services • Experience designing AI agent engineering in production, including LLM applications, agent orchestration frameworks, retrieval and tool integration, evaluation and monitoring, and model governance • Ability to connect architecture decisions to customer business objectives, commercial value, delivery feasibility, cost, and risk considerations • Strong understanding of enterprise integrations, REST/GraphQL, APIs, data flows, cloud performance, scalability, governance, and cost optimization • Executive presence and ability to lead architecture and risk conversations with CIOs, CISOs, enterprise architects, and procurement • Bachelor’s degree in Computer Science, Software Engineering, Computer or Electrical Engineering, Information Systems, or a related technical field • Current professional-level cloud architecture certification: Microsoft Certified: Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, or Google Professional Cloud Architect • Remote, United States-based position; travel up to 30% across North America and LATAM

🏖️ Benefits

• Flexible work location: home, office, or on the move • Support to balance work and life • Equal opportunity and inclusive workplace • Recruitment accommodations available

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