Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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