Senior Solutions Architect II, AI/ML

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.

Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.

Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.

Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.

Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.

Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.

Fluency in English.

Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit:

Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)

NVIDIA Certifications around GPU and AI/ML

Networking: Cisco/Juniper Certifications

Programming/Scripting: Ruby, Python, Go, Bash

Source Code: Git

Automation: Terraform, Ansible, Chef, Puppet, Saltstack

Virtualization: KVM, Xen

Databases: MongoDB, MySQL, Redis, PostgreSQL

Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant

DigitalOcean: API, libraries, services

Linux: RHCSA/RHCE

We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.

We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.

We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.

We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.