Senior Solutions Architect II, AI/ML
DigitalOcean3 days ago
Base Salary
$150k - $186k/yr
Responsibilities
- Advise high-value customers on DigitalOcean products, cloud infrastructure best practices, and AI/ML solutions.
- Perform architecture reviews, proofs of concept, demonstrations, technical consultations, workshops, and customer training.
- Design, deploy, fine-tune, and optimize LLM, GenAI, GPU, chatbot, inference, and recommendation-system workloads.
- Guide onboarding, resolve technical blockers, manage escalations, and support customer retention and expansion.
- Identify cloud cost-reduction and performance-improvement opportunities using data-driven analysis.
- Design AI solutions, manage data pipelines, integrate databases, and implement infrastructure management practices.
- Partner with Sales, Customer Success, Support, Product, Engineering, and Operations teams on customer outcomes and product improvements.
- Build tools and documentation that improve Premium Support customer experience and platform usability.
- Promote technical best practices and process improvements across the organization.
Requirements
- Professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
- Expertise with TensorFlow, PyTorch, Hugging Face, LLM deployment and fine-tuning, and GenAI models such as DeepSeek, Llama, Claude, or GPT-4.
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, GPU optimization, CUDA, and TensorRT.
- Hands-on experience with vLLM and quantization methods including INT4, INT8, and FP8.
- Programming or development experience building AI-powered applications such as recommendation systems and chatbots.
- Experience in post-sales or technical consulting roles focused on AI/ML and cloud solutions.
- Knowledge of provisioning, deployment strategies, Terraform, Kubernetes, and Docker.
- Understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
- Strong communication skills and the ability to explain technical AI/ML concepts clearly.
- Fluency in English and the ability to work independently while collaborating with global teams.
- Preferred qualifications include AWS, GCP, Oracle, Azure, NVIDIA, Cisco, Juniper, or Linux certifications; experience with Ruby, Python, Go, Bash, Git, Ansible, Chef, Puppet, SaltStack, KVM, Xen, MongoDB, MySQL, Redis, PostgreSQL, CoreOS, Vagrant, and DigitalOcean APIs or services.
Benefits
- Remote work arrangement.
- Reimbursement for relevant conferences, training, and education.
- Access to LinkedIn Learning courses.
- Employee Assistance Program, local employee meetups, and flexible time off.
- Potential bonus and equity compensation, including equity grants and an Employee Stock Purchase Program.
Tech Stack
AnsibleAWSAzureBashChefDigitalOceanDockerGitGoGoogle Cloud PlatformKubernetesLinuxMongoDBMySQLOracle CloudPostgreSQLPuppetPythonPyTorchRedisRubyTensorFlowTerraformVagrant
Categories
Solutions Engineering
About DigitalOcean
DigitalOcean is the AI-Native Cloud purpose-built for the inference and agentic era. Its five-layer integrated platform—spanning GPU and CPU infrastructure, core cloud, inference, data, and managed agent orchestration—is open throughout with no vendor lock-in, giving builders everything they need to start fast, scale production AI workloads, and improve unit economics. More than 650,000 customers and millions of developers globally trust DigitalOcean to build, ship, and scale their applications.