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Principal Solutions Architect – FSI
DDNPrincipal Solutions Architect blending technical expertise and consultative approach to enable AI solutions at DDN. Connected to customer needs and operational efficiency, driving innovation in AI data management.
Posted 6/10/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $200,000 - $224,000 per yearWebsite
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI infrastructuredata engineeringAI application developmenttechnical consultingLLMsRAGinferenceneural networksvector databasesAI pipelines
Soft Skills
trusted advisorcustomer engagementinfluence strategytechnical presentationsworkshops
Tools & Technologies
TensorFlowPyTorchNVIDIA Enterprise SuiteNeMONIMs
Industry Keywords
cloud providersOEMsintegratorshyperscalerspre-salessolution consulting
Tech Stack
Tools & technologiesCloudPyTorchTensorflow
About the role
Key responsibilities & impact- Serve as a trusted advisor to customers by understanding their AI, data, and infrastructure challenges and recommending tailored solutions.
- Design scalable AI and data architectures that support long-term growth, performance, and operational efficiency.
- Partner closely with Sales, Engineering, Product, and Marketing teams to support customer engagements and influence strategy.
- Lead technical presentations, demos, proof-of-concepts, and customer workshops throughout the sales cycle.
- Support partner and alliance relationships across cloud providers, OEMs, integrators, and hyperscalers.
Requirements
What you’ll need- Strong background in AI/ML infrastructure, data engineering, AI application development, or technical consulting.
- Experience with modern AI technologies including LLMs, RAG, inference, neural networks, vector databases, and AI pipelines.
- Hands-on familiarity with tools and frameworks such as TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMO, and NIMs.
- Experience supporting complex customer engagements in a pre-sales or solution consulting environment.
- Bachelor's degree in Computer Science, AI, Data Engineering, or a related field (or equivalent experience).
Benefits
Comp & perks- Variable compensation (commission)