Senior Solutions Architect II – AI/ML

🕒 April 10

🏄 California – Remote

🏄 California – Remote

💵 $150k - $182k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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DigitalOcean

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

☁️ SaaS

SaaS • Cloud Computing

DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.

📋 Description

• Serve as a technical partner to the success and sales teams. • Perform architecture reviews, proof of concepts, demos, and uncover customer technical needs. • Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms. • Advocate for customers by providing feedback to product teams and driving new feature development. • Offer personalized onboarding assistance and guide customers through their cloud journey. • Design and review architecture tailored to specific business use cases. • Identify opportunities for cost reduction and performance improvement. • Conduct technical consultation sessions, workshops, and training for customers. • Partner with Growth Account Managers and Customer Success Managers to create success plans.

🎯 Requirements

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education. • Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face. • Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models. • Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT). • Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment. • Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots). • Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions. • Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker. • Passionate about customer experience and leveraging AI/ML to solve complex business problems. • Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges. • Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies. • Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.

🏖️ Benefits

• Competitive salary • Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses • Employee Assistance Program • Flexible time off policy