What are the responsibilities and job description for the Principal Solutions Architect - FSI position at DDN?
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
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.
- 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.
- 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