Advisory AI Architect
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Job Description
Advisory AI Architect designing scalable AI solutions for customers at Dell Technologies. This role involves leading implementations and migrations in cloud, on-premises, and hybrid environments.
Responsibilities:
- 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
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