Senior Solutions Architect II, AI/ML

🔥 0 minutes ago

🏄 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, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. • Develop deep expertise in the DigitalOcean product portfolio, and AI/ML platforms. • Advocate for customers by providing feedback to product teams, overcoming adoption blockers, 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, ensuring optimal solutions for customers. • Implement and oversee infrastructure management best practices. • Identify opportunities for cost reduction and performance improvement. • Conduct technical consultation sessions, workshops, and training for customers. • Provide regular presentations articulating product benefits and technical solutions.

🎯 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. • Fluency in English.

🏖️ Benefits

• Competitive salary • Bonuses based on performance • Equity compensation options • Reimbursement for relevant conferences, training, and education • 10,000+ LinkedIn Learning courses access • Competitive array of benefits from Employee Assistance Program to flexible time off policy