Advisory AI Architect (FDE Unit)

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Advisory AI Architect (FDE Unit)  

Within theForward Deployment Engineering (FDE) Unit, theAdvisory 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.

Join us to do the best work of your career and make a profound social impact as anAdvisory AI Architect on ourForward Deployment Engineering (FDE)Team inHelsinki, Finland.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

 

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 operatingproduction 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 totravel to customer sites and Dell locations as needed, in line with business requirements and applicable laws and Dell policies

 

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.
• Finnish language skills