Director, Cloud Architecture & Delivery

Enaex

. Build and lead a forward-deployed engineering capability working with customer technical and business teams to translate priority use cases into deployed solutions .

Posted 10/27/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in designing and delivering cloud architectures, particularly with Azure, while effectively leading customer engagements and managing complex AI and data solutions. Proven ability to connect technical architecture to business objectives and deliver value in regulated environments.

Highest-signal resume keywords

Cloud Architecture DesignAI Agent EngineeringCustomer-Facing Pre-Sales ExperienceHyperscaler Expertise (Azure Preferred)Enterprise Integration Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud ArchitectureAI Solutions DeploymentKubernetesREST/GraphQLData FlowsModel GovernanceAgent OrchestrationPerformance OptimizationSecurity ControlsAcceptance Criteria Definition

Soft Skills

Executive PresenceCustomer EngagementLeadershipCommunicationRisk Management

Tools & Technologies

PLEXOS IntelligencePLEXOS CloudAzureAWSGCPAPIsCloud ServicesDeployment PatternsEnvironment-as-CodeTechnical Discovery Frameworks

Certifications & Qualifications

Microsoft Certified: Azure Solutions Architect ExpertAWS Certified Solutions Architect – ProfessionalGoogle Professional Cloud Architect

Industry Keywords

Enterprise TechnologyRegulated EnvironmentsRFI/RFP ResponsesTechnical Deal StrategyCloud PerformanceScalabilityGovernanceRisk AssessmentsCustomer SuccessTechnical Workshops

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGraphQLKubernetes

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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