DigitalOcean
Senior Solutions Architect (AI/ML)
DigitalOcean, San Francisco, California, United States, 94199
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Senior Solutions Architect (AI/ML)
role at
DigitalOcean .
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 DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You’ll partner with strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions, influencing technical and business decisions. You will help customers modernize workloads and position DigitalOcean as the preferred cloud for AI/ML and GPU needs.
In this role, you will collaborate with Sales, Technical Account Management, and Partner teams to deliver technical excellence that drives new customer acquisition and the expansion of existing relationships. You will design, implement, and optimize high‑performing, resilient cloud solutions aligned to customer needs. You will work cross‑functionally with Product, Engineering, and Operations to ensure customer feedback shapes continuous improvement of DigitalOcean’s products and services. Your technical leadership and consultative approach will be essential in building trusted relationships and positioning DigitalOcean for growing businesses and strategic partners.
What You’ll Do
Act as a trusted technical advisor for your accounts and partners, focusing on AI/ML and GPU 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 TensorFlow and PyTorch and platforms like Hugging Face, including deploying and fine‑tuning LLMs and GenAI models.
Optimize AI/ML workloads using CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8).
Educate customers on building scalable AI applications such as chatbots, inference services, or recommendation systems using Kubernetes, NFS, and databases.
Demonstrate proficiency in DevOps tools including 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.
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 success criteria.
Product & Feature Advocacy – Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering.
What You’ll Add To DigitalOcean
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 (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 techniques (CUDA, TensorRT).
Hands‑on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, FP8) for efficient model deployment.
Familiarity with DevOps 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, identifying customer needs and crafting 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), 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.
Compensation Range
$144,000 – $172,800
Remote role
Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting‑edge technology company that simplifies cloud and AI, enabling builders to create impactful software.
We prioritize career development. Team members work with top talent and access resources for continuous growth, including conferences, training, and LinkedIn Learning courses.
We care about well‑being. We offer competitive benefits, Employee Assistance Programs, flexible time off, and more, tailored to local regulations.
We reward our employees. In addition to competitive pay, you may qualify for a bonus and equity compensation through the Employee Stock Purchase Program.
DigitalOcean is an equal‑opportunity employer. We do not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Employment Type: Full‑time
Seniority Level: Mid‑Senior level
Job Function: Engineering and Information Technology
#J-18808-Ljbffr
Senior Solutions Architect (AI/ML)
role at
DigitalOcean .
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 DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You’ll partner with strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions, influencing technical and business decisions. You will help customers modernize workloads and position DigitalOcean as the preferred cloud for AI/ML and GPU needs.
In this role, you will collaborate with Sales, Technical Account Management, and Partner teams to deliver technical excellence that drives new customer acquisition and the expansion of existing relationships. You will design, implement, and optimize high‑performing, resilient cloud solutions aligned to customer needs. You will work cross‑functionally with Product, Engineering, and Operations to ensure customer feedback shapes continuous improvement of DigitalOcean’s products and services. Your technical leadership and consultative approach will be essential in building trusted relationships and positioning DigitalOcean for growing businesses and strategic partners.
What You’ll Do
Act as a trusted technical advisor for your accounts and partners, focusing on AI/ML and GPU 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 TensorFlow and PyTorch and platforms like Hugging Face, including deploying and fine‑tuning LLMs and GenAI models.
Optimize AI/ML workloads using CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8).
Educate customers on building scalable AI applications such as chatbots, inference services, or recommendation systems using Kubernetes, NFS, and databases.
Demonstrate proficiency in DevOps tools including 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.
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 success criteria.
Product & Feature Advocacy – Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering.
What You’ll Add To DigitalOcean
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 (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 techniques (CUDA, TensorRT).
Hands‑on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, FP8) for efficient model deployment.
Familiarity with DevOps 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, identifying customer needs and crafting 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), 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.
Compensation Range
$144,000 – $172,800
Remote role
Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting‑edge technology company that simplifies cloud and AI, enabling builders to create impactful software.
We prioritize career development. Team members work with top talent and access resources for continuous growth, including conferences, training, and LinkedIn Learning courses.
We care about well‑being. We offer competitive benefits, Employee Assistance Programs, flexible time off, and more, tailored to local regulations.
We reward our employees. In addition to competitive pay, you may qualify for a bonus and equity compensation through the Employee Stock Purchase Program.
DigitalOcean is an equal‑opportunity employer. We do not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Employment Type: Full‑time
Seniority Level: Mid‑Senior level
Job Function: Engineering and Information Technology
#J-18808-Ljbffr