DDN
Principal Solutions Architect - FSI
RemoteUnited States only
- Experience
- Principal
- Employment
- Full-time
Salary not disclosed
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No BS summary
Principal-level solutions architect for AI/ML, data infrastructure, and HPC customer engagements. Needs pre-sales/solution consulting experience, modern AI tech knowledge, and hands-on familiarity with TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMO, and NIMs. Remote role tied to New York.
Core skills
Vector databasesAI pipelinesAI/ML infrastructure
Required skills
LLMsRAGInferenceNeural networksTensorFlowPyTorchNVIDIA Enterprise SuiteNeMONIMs
The DataDirect Networks Principal Solutions Architect role blends deep technical expertise with a strong consultative approach to helping customers build and scale AI, ML, and HPC solutions. This position plays a key role in connecting DDN’s AI and data platform technologies to real customer business challenges — helping organizations improve performance, reduce latency, increase operational efficiency, and accelerate time-to-insight.
CORE RESPONSIBILITIES
- 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.
- Deliver enablement and technical training to internal teams and external partners.
- Stay current on AI, data infrastructure, and competitive market trends to effectively position DDN solutions.
WHAT WE’RE LOOKING FOR
- 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.
- Ability to communicate effectively with both technical teams and executive stakeholders.
- Experience supporting complex customer engagements in a pre-sales or solution consulting environment.
- Strong presentation, relationship-building, and strategic problem-solving skills.
PREFERRED BACKGROUND
- Bachelor’s degree in Computer Science, AI, Data Engineering, or a related field (or equivalent experience).
- Experience working with cloud providers, strategic alliances, and partner ecosystems.
- Background in technical sales engineering, AI consulting, or customer-facing architecture roles.
- Understanding of AI infrastructure optimization, scalability, and data center performance considerations
What you'll do
- 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.
- Deliver enablement and technical training to internal teams and external partners.
- Stay current on AI, data infrastructure, and competitive market trends to effectively position DDN solutions.
What they require
- 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.
- Ability to communicate effectively with both technical teams and executive stakeholders.
- Experience supporting complex customer engagements in a pre-sales or solution consulting environment.
- Strong presentation, relationship-building, and strategic problem-solving skills.
- Preferred: Bachelor’s degree in Computer Science, AI, Data Engineering, or a related field, or equivalent experience.
- Preferred: Experience working with cloud providers, strategic alliances, and partner ecosystems.
- Preferred: Background in technical sales engineering, AI consulting, or customer-facing architecture roles.
- Preferred: Understanding of AI infrastructure optimization, scalability, and data center performance considerations.
DDN is positioned as NVIDIA’s storage and data intelligence partner for AI factories and the NVIDIA AI Data Platform.
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