Role Summary 

Within the Forward Deployment Engineering (FDE) Unit, the Advisory AI Architect is a hands-on technical leader who designs and builds AI and GenAI solutions with customers. You will own key parts of the AI software stack, drive rapid proof-of-value sprints, and help move AI workloads toward stable production on Dell infrastructure, balancing speed, reliability, security, and responsible AI practices. 

You focus on fit-for-purpose architectures and enablement so customers can operate and extend their AI solutions after FDE Units disengage. 

What You’ll Achieve 

In this role, you will: 

• 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. 

Key Responsibilities 

• 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. 

Essential 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. 

• Business level of Japanese and English

Desirable Requirements 

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. 

• Experience deploying AI solutions across cloud, on-premises, and hybrid environments. 

• Familiarity with AI security, privacy, and governance and modern cloud / data / ML tooling (e.g., major public clouds, Kubernetes). 

• Hands-on experience with GenAI or RAG-style solutions and leading small technical teams in customer-facing projects.