Design scalable AI architectures for customer use cases in line with enterprise and security standards
Lead implementation of AI software components such as model serving, orchestration, retrieval, and integrations
Run time-bound proofs of value to demonstrate business outcomes quickly and clearly
Help migrate AI workloads between cloud, on-premises, and hybrid environments on Dell infrastructure
Enable customer engineers and platform teams to support and extend solutions after handover
Design, configure, and implement AI solution stacks, including model serving, orchestration, retrieval pipelines, vector stores, and related components
Select practical tools and patterns to avoid tooling sprawl and deliver working prototypes and PoVs tied to clear success measures
Lead PoV sprints (typically a few weeks): refine scope, build and iterate on solutions, and present outcomes and recommendations to stakeholders
Plan and execute cloud-to-on-prem and hybrid migration patterns for AI workloads onto Dell infrastructure, optimizing performance, reliability, and security
Take shared responsibility for production readiness and early production stability, including monitoring, performance optimization, and issue triage
Work closely with AI Data Specialists to define and consume AI-ready data pipelines that support performance and reliability
Collaborate with AI Strategists and Enterprise Architects to align technical scope with business outcomes and target-state architectures
Provide documentation, runbooks, and knowledge transfer to customer teams, and contribute to Dell AI Factory reference architectures and playbooks
Mentor other technical team members on AI architecture patterns, Dell AI infrastructure capabilities, and responsible AI practices

Requirements

Typically, 6+ years in enterprise architecture, AI/ML platforms, or systems engineering, delivering production workloads in large enterprises
Hands-on experience designing and implementing AI solution components such as model serving, orchestration, retrieval pipelines, vector stores, and integrations
Strong foundation in modern software engineering practices (e.g., CI/CD, automated testing, observability, DevOps/SRE, infrastructure-as-code)
Experience delivering and operating production AI or other large-scale distributed systems in enterprise environments
Demonstrated ownership of production systems, including stabilization and performance tuning in high-visibility contexts
Ability to explain complex technical trade-offs and architectures in clear language for both technical and non-technical stakeholders
Ability to travel to customer sites and Dell locations as needed, in line with business requirements and applicable laws and Dell policies

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

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

Hard Skills & Tools

AI architecture designmodel servingorchestrationretrieval pipelinesvector storescloud migrationDevOpsinfrastructure-as-codeperformance optimizationautomated testing

Soft Skills

leadershipcommunicationmentoringcollaborationproblem-solvingstakeholder engagementtechnical explanationdocumentationknowledge transferownership