Senior Solutions Architect; AI​/ML

Join to apply for the Senior Solutions Architect (AI/ML) role at Digital Ocean.

We innovate with purpose. You’ll be a part of a cutting‑edge technology company that simplifies cloud and AI so builders can spend more time creating software that changes the world.

• 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‑concepts, 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.
• Optimize AI/ML workloads using tools like CUDA, Tensor
  
  RT, vllm, and quantization methods (INT4, INT8, FP8).
• Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and database solutions.
• Demonstrate proficiency in Dev Ops tools such as 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 (INT4, INT8, 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 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, Azure, GCP), with experience designing solutions in multi‑cloud or hybrid cloud architectures.
• Advanced AI/ML and GPU certifications from major providers such as NVIDIA and AMD.
• Hands‑on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices.
• Active participation in cloud‑native or developer communities, including presenting at meetups, conferences, or contributing to forums.
• Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership.
• Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions.