Senior Solutions Architect

Dive in and do the best work of your career rney alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast‑paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are looking for a Senior Solutions Architect (AI/ML) who is passionate about solving complex cloud infrastructure challenges especially in the fast‑growing AI/ML space. As a Senior Solutions Architect at Digital Ocean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Senior Manager of Solutions Architecture, you’ll partner with our most strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions.

You will influence both technical and business decisions, help customers modernize their workloads, and position Digital Ocean as the preferred cloud for their AI/ML and GPU needs.

• Act as a trusted technical advisor for your accounts and partners, with a focus on AI/ML and GPU‑based workloads.
• Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals.
• Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs.
• Lead technical deep dives, workshops, proof‑of‑conceptions, and executive briefings to accelerate adoption.
• Demonstrate strong expertise in AI/ML frameworks like Tensor Flow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine‑tuning LLMs and GenAI models.
• Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases.
• Demonstrate proficiency in Dev Ops tools like Docker, Terraform, and CI/CD pipelines.
• Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams.
• Provide customer feedback to shape product roadmaps and enhance platform capabilities.
• Support workload expansion, retention, and long‑term partnership growth through proactive technical engagement.

• Technical Growth Enablement - Design and deliver solutions that unlock new workloads, increase platform adoption, and expand account usage.
• Reduction in Time‑to‑Value - Accelerate onboarding, POCs, and migrations for accounts.
• POC & Migration Success Rate - Percentage of proofs‑of‑concept and migrations completed on time and meeting defined success criteria.
• Product & Feature Advocacy - Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering.

• 5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre‑sales and solution strategy.
• Deep expertise in AI/ML frameworks (Tensor Flow, PyTorch) and platforms like Hugging Face.
• Experience deploying and fine‑tuning LLMs (Deep Seek, Llama, Claude, GPT‑4) and GenAI models.
• Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, Tensor
  
  RT).
• Hands‑on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Familiarity with Dev Ops tools (Docker, Terraform, CI/CD pipelines) and modern cloud‑native practices.
• Excellent communication skills, comfortable engaging and presenting to both engineers and executives.
• Proven ability to lead complex technical engagements from discovery and solution design to post‑deployment success.
• Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives.

• Contributions to open‑source or technical communities related to AI/ML, cloud infrastructure, Dev Ops, or cloud‑native technologies.
• Advanced knowledge of public cloud platforms (AWS,…