AI/Cloud Solutions Architect (GCP)

Overview

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

  

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC 

  

“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA 

  

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. 

  

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. 

  

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. 

Job Description

The DDN AI Solutions Architect – Cloud / Google (GCP) is a strategic and technical leader focused primarily on driving joint solutions with Google Cloud (GCP). This role serves as a bridge between Google Cloud teams, DDN’s field organization, and enterprise customers, delivering integrated AI/ML and data management solutions that leverage the power of DDN’s Data Intelligence platforms, including Infinia and EXAScaler.

 

The position emphasizes designing and delivering innovative solutions by combining DDN’s solutions with Google Cloud’s AI/ML infrastructure delivering joint solutions to DDNs customers. Success in this role is measured by the ability to build and nurture relationships with Google Cloud, align joint solutions to customer needs, and drive measurable outcomes that accelerate AI adoption and cloud efficiency.

 

Core Responsibilities:

• AI Intelligence: Demonstrate expertise in Cloud and AI technologies, including architecture, deployment, optimization, and integration, with a focus on delivering measurable outcomes
• Outcome-Driven Approach, Positioning and Consultation: Engage deeply to understand their Cloud and 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: 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 member in the sales process, the AI Solutions Architect is partially 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

Solution Design and Development

• Architect integrated solutions that combine Google Cloud’s AI/ML services (Vertex AI, TensorFlow Enterprise) with DDN platforms.
• Design and validate reference architectures that address diverse workloads, such as LLMs, AI inference, and real-time data analytics in and delivered through GCP environments.
• Optimize DDN’s solution capabilities, such as dynamic data tiering and intelligent data movement, for seamless interoperability with Google Cloud’s infrastructure and services.

Google Cloud Focus

• Work closely with Google Cloud teams to co-develop joint solutions, including integration, APIs, plugins, and deployment strategies.
• Partner with Google Cloud