Senior Solutions Architect II (AI/ML)

DigitalOcean • San Francisco, CA

3d • Remote

About The Position

DigitalOcean is seeking a Senior Solutions Architect II to help solve complex cloud infrastructure challenges, particularly in AI/ML and GPU-based workloads. The role supports strategic accounts and partnerships, designing and implementing scalable, reliable cloud solutions and helping customers modernize workloads. The architect influences technical and business decisions and positions DigitalOcean as a preferred cloud provider for customers’ AI/ML and GPU needs.

Reporting to the Senior Manager of Solutions Architecture, this technical subject matter expert collaborates with Sales, Technical Account Management, partners, Product, Engineering, and Operations. The role guides customers through scalable architecture design, legacy-system modernization, and cloud-native adoption, while ensuring customer feedback informs product and service improvements. It combines technical leadership, consultative customer engagement, and business acumen to support adoption, retention, and strategic growth.

Requirements

• At least 7 years of experience in Solutions Architecture, Technical Consulting, or Software Engineering, with a track record in pre-sales and solution strategy.
• Deep expertise in AI/ML frameworks such as TensorFlow and PyTorch, and platforms such as Hugging Face.
• Experience deploying and fine-tuning LLMs and other GenAI models, using techniques such as SFT, LoRA, and QLoRA.
• Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems such as CUDA and ROCm.
• Hands-on experience with high-performance inference engines such as vLLM, SGLang, and TensorRT, and quantization methods such as INT4, INT8, and FP8.
• Familiarity with Docker, Terraform, CI/CD pipelines, and modern cloud-native practices.
• Excellent communication skills and comfort engaging with and presenting to engineers and executives.
• Ability to lead complex technical engagements from discovery and solution design through post-deployment success.
• Strong consultative approach and ability to identify customer needs and craft cloud solutions aligned with business objectives.

Nice To Haves

• Contributions to open-source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud-native technologies.
• Advanced knowledge of AWS, Azure, or GCP, including experience designing multi-cloud or hybrid-cloud architectures.
• Advanced AI/ML and GPU certifications from providers such as NVIDIA or AMD.
• Hands-on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices.
• Participation in cloud-native or developer communities, including presenting at meetups or 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, including working with ISVs, technology alliances, or channel partners to deliver joint solutions.

Responsibilities

• Act as a trusted technical advisor to strategic accounts and partners, focusing on AI/ML and GPU-based workloads.
• Collaborate with Account Executives, Technical Account Managers, and partners to develop success plans aligned with business goals.
• Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs.
• Lead technical deep dives, workshops, proofs of concept, and executive briefings to accelerate adoption.
• Advise customers on building scalable AI applications, such as chatbots, inference services, and recommendation systems, using Kubernetes, NFS, and databases.
• Troubleshoot complex technical challenges 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.
• Design and deliver solutions that unlock workloads, increase platform adoption, and expand strategic account usage.
• Help accelerate onboarding, proofs of concept, and migrations, and contribute to their successful completion against defined criteria.

Benefits

• Reimbursement for relevant conferences, training, and education, subject to company policy.
• Flexible time off.
• Local team meetups.
• Mental health and well-being support.
• Eligible employees may receive equity compensation, potentially including a new-hire equity grant.
• Eligible employees in participating countries may have the opportunity to participate in the Employee Stock Purchase Program.
• Annual bonus plan eligibility for non-sales roles, subject to plan terms and local eligibility.
• Potential incentive compensation under the applicable sales compensation plan for sales-compensation-eligible roles.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed