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.