Senior Solutions Architect II, AI/ML

DigitalOcean

Solutions Architect II specializing in cloud infrastructure and customer success at DigitalOcean. Supporting large customers through technical expertise and growing the customer base.

Posted 6/18/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $150,000 - $182,000 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerKubernetesLinuxNFSPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

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Hard Skills & Tools

cloud infrastructureAI/ML platformsAI/ML frameworksTensorFlowPyTorchLinuxKubernetesNFSObject StorageGPU optimization

Soft Skills

technical consultationcustomer advocacypresentation skillsproblem-solvingcommunication