---
title: Principal Solution Architect at Ddn in Santa Clara, CA
description: Ddn is hiring for the Principal Solution Architect role in Santa Clara, CA. Pays
  $300K–$330K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/principal-solution-architect-at-ddn-01a11273-dc6e-7a12-a0ce-f2dd22249213
date: 2026-11-15T01:26:44Z
og_description: Join Ddn as Principal Solution Architect in Santa Clara, CA. Pays $300K–$330K
  per year. Full-time, hybrid role.
og_image: https://www.foundrole.com/og/jhpq3u.png
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  - label: Home
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---

| | |
|---|---|
| **Company** | Ddn |
| **Location** | Santa Clara, CA (Hybrid) |
| **Salary** | $300K/yr - $330K/yr |
| **Type** | Full Time |
| **Posted** | Oct 06, 2026 |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Ddn sponsors H-1B visas. It filed 27 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Ddn.

## Pay for similar jobs

Most similar jobs pay $171,000 – $230,000 a year (median $209,000).

## Description

The Principal AI Solutions Architect at DataDirect Networks (DDN) combines technical mastery with outcome driven strategic selling/consulting delivering high-performance AI, ML, and HPC solutions. This role is pivotal in aligning DDN’s cutting-edge AI solutions and data management technologies with clients’ business needs, driving measurable outcomes to include efficiencies, optimizations, utilization, reduced latency, and accelerated time-to-insight. The ideal candidate will bring pre-sales engineering experience, AI technical expertise and intelligence, and a passion for delivering tailored solutions that enable customer success.

**Core Responsibilities:**

- AI Intelligence: Demonstrate expertise in AI technologies, including architecture, deployment, optimization, and integration, with a focus on delivering measurable outcomes

- Outcome-Driven Approach, Positioning and Consultation: Engage deeply with clients to understand their AI and data challenges & performance goals, recommending DDN’s AI & high-performance solutions to achieve desired business outcomes, whether it’s accelerated time-to-insight or operational efficiency.

- Value-Centric Solution Design: Partner with clients to architect and deliver AI-driven data solutions that prioritize long-term value, scalability, and performance optimization. Leverage DDN’s expertise in AI, HPC, and cloud storage to address current requirements while enabling future growth and innovation.

- Active Selling Partner: As a proactive part of the sales process, the AI Solutions Consultant is a Sales Engineering role which actively engages in client discussions, delivers compelling product demonstrations, and contributes to closing deals by demonstrating the business value and ROI of DDN’s solutions.

- Pre-Sales Customer Development: Providing hands-on technical presentations, demonstrations, proof-of-concept support and management, and ongoing client management and support to ensure successful adoption, usage, and maximized business impact from DDN technologies.

**Primary Responsibilities**

- Outcome-Driven: Leverage experience in AI, Data & Analytics to engage deeply with clients, understanding their challenges and delivering value-driven solutions.

- Data Architecture Proficiency: Design scalable solutions and implement strategies for effective data models and management to support AI/ML workflows.

- Generative AI Enablement: Apply knowledge & expertise in AI technologies, including Large Language Models (LLMs), neural networks, RAG, Inference, and recommendation systems, to drive innovation and client success.

- Technical Solution Design: Utilize frameworks like NeMO, NIMs, TensorFlow, PyTorch, and Nvidia Enterprise Suite to craft and demonstrate DDNs advanced AI solutions tailored to client needs.

- Cross-Functional Collaboration: You are a partner with between Sales, Product, Marketing and Engineering teams, ensuring customer insights inform messaging, collateral, product development, support/services and technical strategies.

- Partner Ecosystem Development: Build and maintain relationships across our ecosystem of Alliances, OEMs, CSPs, hyper-scalers, channel and integrators to create joint go-to-market strategies and expand DDN’s market reach.

- Enablement and Training: Deliver technical development for internal teams and partners, ensuring a deep understanding of DDN’s AI solutions.

- Market Awareness: Stay abreast of trends in AI, data management, and competitive landscapes to position DDN’s solutions effectively.

**Key Practices:**

- Consultative Engagement: Demonstrate the ability to understand client needs, outcomes and deliver tailored solutions through effective discovery processes and relationship building.

- AI Expertise: Showcase knowledge of AI workflows, frameworks, pipelines to include above the stack applications, Data Prep/Analytics, Toolkits, Training, Inference, Application Frameworks, NVIDIA Enterprise suite, LLMs, RAG, and related technologies, aligning solutions to business outcomes and emerging AI trends.

- Data Architecture Leadership: Provide insights and designs for data strategies that support efficiency, scalability, performance, and ROI.

- Technical Depth: AI Intelligence and knowledge of AI Pipelines, Applications, Frameworks, Workflows, LLMs, RAG, Inference, GENAI, ChatBots and advanced tools/frameworks like TensorFlow, PyTorch, and NVIDIA Enterprise Suite.

- Client Delight Focus: Build enduring client relationships and ensure successful adoption of DDN solutions, with measurable outcomes.

- Strategic Collaboration: Partner with internal and external stakeholders to align technical capabilities with business objectives and outcomes.

**Required Qualifications**

- 8+ years of experience in AI/ML infrastructure, data engineering, or consulting for AI projects and/or AI/ML and/or Data Science application development practices and architectures.

- Demonstratable expertise in generative AI technologies, including LLMs, neural networks, and recommendation systems.

- Familiarity with AI frameworks such as TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMO, NIMs etc.

- Proven track record of delivering technical wins in complex sales or consulting environments.

- Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.

- Certifications in AI and cloud architectures (e.g. NVIDIA, AWS, Azure, Google Cloud, or similar) are a plus.

- Subject matter expert in AI frameworks, Data Science and Data Engineering concepts, Predictive Analytics, and/or Generative AI development practices

- Working knowledge of full stack AI training, inference, development and deployment tools, including LLM, Feature Stores, Vector Databases, Embedding Models, ETL tooling, and modern programming languages/frameworks

- Executive presence with public speaking skills

- Entrepreneurial mindset

**Preferred Qualifications**

- Bachelor’s degree in Computer Science, AI, Data Engineering, or a related technical field or equivalent experience.

- Experience working with alliances, OEM, partner ecosystems, hyperscalers, and joint solution delivery.

- Previous experience as a sales engineer, technical sales, consultant or similar role, highlighting expertise in driving sales and technical conversations in the Data Science AI/ML and Generative AI space.

- Knowledge of ROI and AI - data center optimization metrics, including energy efficiency, space utilization, and performance tuning.

- Experience working with cloud providers and other 3rd parties for joint GTM, leveraging relationships to drive indirect sales and co-selling opportunities.

- Demonstrates a deep understanding of customer challenges and the ability to propose credible solutions.
## Skills

- Hyperscaler Cloud Platforms
- TensorFlow
- High-Performance Computing
- Artificial Neural Networks
- Solution Delivery
- Return On Investment
- Cloud Computing
- Data Models
- Recommender Systems
- Energy Efficiency Practitioner
- Ecosystem Management
- Amazon Web Services
- Analytics
- Strategic Alliance
- Data Science
- Customer Success Management
- Application Development
- MLOps
- Partnership Development
- Extract Transform Load (Etl)
- Data Management
- Performance Optimization
- Software Deployment
- Go-to-Market Strategy
- Cloud Storage
- Information Architecture
- Relationship Building
- Pre-Sales
- Sales Closing
- Customer Development
- Feature Store
- Performance Tuning
- Artificial Intelligence
- OEM Relationship Management
- Microsoft Azure
- Data Centers
- Cloud Architecture
- Chatbot
- AI Training
- Co-Selling
- Retrieval-Augmented Generation (Rag)
- Software Development
- Collaboration
- Sales Engineering
- New Product Development
- Scalability
- Google Tag Manager
- Data Architecture
- Presentation Skills
- Generative AI
- Executive Presence
- Public Speaking
- AI-Native Workflows
- Large Language Models (Llm)
- Vector Database
- Google Cloud Platform (Gcp)
- Sales Process
- Leadership
- Customer Insights
- Computer Science
- Solution Design
- Embedding Models (Nlp/ml)
- Data Engineering
- Hair Colouring
- Communication
- Machine Learning
- Demonstration Skills
- Generative AI Foundations
- Predictive Analytics
- Sales

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