Director, Cloud Architecture & Delivery

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Enaex

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1920

🏗️ Construction

🏭 Manufacturing

Construction • Mining • Manufacturing

Enaex is a global leader in the production and distribution of industrial explosives and related services for the mining, construction, and defense industries. The company specializes in providing innovative solutions for blasting operations, ensuring safety and efficiency across all projects.

📋 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