DigitalOcean
Senior Solutions Architect (AI/ML) at DigitalOcean
Join to apply for the
Senior Solutions Architect (AI/ML)
role at
DigitalOcean . Dive in and do the best work of your career at DigitalOcean. We are looking for a Senior Solutions Architect (AI/ML) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. You will influence technical and business decisions, help customers modernize their workloads, and position DigitalOcean as the preferred cloud for their AI/ML and GPU needs. As a Senior Solutions Architect at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You’ll partner with our most strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions. You will collaborate with Sales, Technical Account Management, and Partner teams to deliver technical excellence that drives new customer acquisition and expansion of existing relationships. You will work cross-functionally with Product, Engineering, and Operations to ensure customer feedback shapes the continuous improvement of DigitalOcean’s products and services. This is an exciting opportunity to combine technical depth, business acumen, and communication skills to drive meaningful impact on DigitalOcean’s growth and success. What You’ll Do
As a Senior Solutions Architect supporting complex Accounts & Partnerships with emphasis on AI/ML and GPU-based technologies, lead technical engagements with customers to drive innovation, cloud adoption, and long-term success. Collaborate with account teams, Technical Account Management, engineering, and partner organizations to solve complex business challenges through technical excellence. Guide customers in designing scalable architectures, modernizing legacy systems, and adopting cloud-native solutions; influence technical and strategic decisions while fostering trusted relationships. Act as a trusted technical advisor for AI/ML and GPU-based workloads; design, present, and implement scalable architectures and AI solutions tailored to customer needs. Lead technical deep dives, workshops, proofs-of-concept, and executive briefings to accelerate adoption. Demonstrate proficiency in AI/ML frameworks (TensorFlow, PyTorch) and platforms (Hugging Face); experience deploying and fine-tuning LLMs and GenAI models. Optimize AI/ML workloads using CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8). Educate customers to build scalable AI applications (e.g., chatbots, inference services, recommendation systems) using Kubernetes, NFS, and databases. Demonstrate proficiency with DevOps tools (Docker, Terraform, CI/CD pipelines); 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. Key Metrics
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 criteria. Product & Feature Advocacy – Measurable impact on product improvements through feedback and collaboration with Product and Engineering. What You’ll Add To DigitalOcean
5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience with pre-sales and solution strategy. Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face. Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4) and GenAI models. Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization (CUDA, TensorRT). Hands-on experience with vllm and quantization methods (INT4, INT8, FP8) for efficient model deployment. Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices. Excellent communication skills; ability to engage with engineers and executives alike. Proven ability to lead complex technical engagements from discovery and solution design to post-deployment success. Strong consultative approach to identify customer needs and craft tailored cloud solutions aligned with business objectives. Preferred
Contributions to open-source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud-native technologies. Advanced knowledge of public cloud platforms (AWS, Azure, GCP); experience designing multi-cloud or hybrid solutions. Advanced AI/ML and GPU certifications from providers like NVIDIA and AMD. Hands-on experience building internal tools or frameworks to streamline migrations, deployment workflows, or architectural practices. Active participation in cloud-native or developer communities, including presenting at meetups or conferences. Published technical content such as blogs, whitepapers, or solution guides on cloud architecture and modernization. Familiarity with partner ecosystems and ISVs, technology alliances, or channel partners for joint solutions. Compensation
$115,200 - $144,000 This is a remote role Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll join a cutting-edge technology company with an upward trajectory that simplifies cloud and AI for builders. We prioritize career development with resources for growth, conferences, training, and LinkedIn Learning. We care about well-being with a comprehensive benefits program. We reward our employees with salary, potential bonuses, and equity compensation including an 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. Location: Remote in the United States
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Join to apply for the
Senior Solutions Architect (AI/ML)
role at
DigitalOcean . Dive in and do the best work of your career at DigitalOcean. We are looking for a Senior Solutions Architect (AI/ML) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. You will influence technical and business decisions, help customers modernize their workloads, and position DigitalOcean as the preferred cloud for their AI/ML and GPU needs. As a Senior Solutions Architect at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You’ll partner with our most strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions. You will collaborate with Sales, Technical Account Management, and Partner teams to deliver technical excellence that drives new customer acquisition and expansion of existing relationships. You will work cross-functionally with Product, Engineering, and Operations to ensure customer feedback shapes the continuous improvement of DigitalOcean’s products and services. This is an exciting opportunity to combine technical depth, business acumen, and communication skills to drive meaningful impact on DigitalOcean’s growth and success. What You’ll Do
As a Senior Solutions Architect supporting complex Accounts & Partnerships with emphasis on AI/ML and GPU-based technologies, lead technical engagements with customers to drive innovation, cloud adoption, and long-term success. Collaborate with account teams, Technical Account Management, engineering, and partner organizations to solve complex business challenges through technical excellence. Guide customers in designing scalable architectures, modernizing legacy systems, and adopting cloud-native solutions; influence technical and strategic decisions while fostering trusted relationships. Act as a trusted technical advisor for AI/ML and GPU-based workloads; design, present, and implement scalable architectures and AI solutions tailored to customer needs. Lead technical deep dives, workshops, proofs-of-concept, and executive briefings to accelerate adoption. Demonstrate proficiency in AI/ML frameworks (TensorFlow, PyTorch) and platforms (Hugging Face); experience deploying and fine-tuning LLMs and GenAI models. Optimize AI/ML workloads using CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8). Educate customers to build scalable AI applications (e.g., chatbots, inference services, recommendation systems) using Kubernetes, NFS, and databases. Demonstrate proficiency with DevOps tools (Docker, Terraform, CI/CD pipelines); 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. Key Metrics
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 criteria. Product & Feature Advocacy – Measurable impact on product improvements through feedback and collaboration with Product and Engineering. What You’ll Add To DigitalOcean
5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience with pre-sales and solution strategy. Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face. Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4) and GenAI models. Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization (CUDA, TensorRT). Hands-on experience with vllm and quantization methods (INT4, INT8, FP8) for efficient model deployment. Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices. Excellent communication skills; ability to engage with engineers and executives alike. Proven ability to lead complex technical engagements from discovery and solution design to post-deployment success. Strong consultative approach to identify customer needs and craft tailored cloud solutions aligned with business objectives. Preferred
Contributions to open-source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud-native technologies. Advanced knowledge of public cloud platforms (AWS, Azure, GCP); experience designing multi-cloud or hybrid solutions. Advanced AI/ML and GPU certifications from providers like NVIDIA and AMD. Hands-on experience building internal tools or frameworks to streamline migrations, deployment workflows, or architectural practices. Active participation in cloud-native or developer communities, including presenting at meetups or conferences. Published technical content such as blogs, whitepapers, or solution guides on cloud architecture and modernization. Familiarity with partner ecosystems and ISVs, technology alliances, or channel partners for joint solutions. Compensation
$115,200 - $144,000 This is a remote role Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll join a cutting-edge technology company with an upward trajectory that simplifies cloud and AI for builders. We prioritize career development with resources for growth, conferences, training, and LinkedIn Learning. We care about well-being with a comprehensive benefits program. We reward our employees with salary, potential bonuses, and equity compensation including an 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. Location: Remote in the United States
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