Senior Solutions Architect

Dive in and do the best work of your career at DigitalOcean. Journey 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 DigitalOcean, 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 DigitalOcean as the preferred cloud for their 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 both new customer acquisition and the expansion of existing relationships. As the technical subject matter expert, you will design, implement, and optimize cloud solutions that are high-performing, resilient, and aligned to customer needs.. Additionally, you will work cross-functionally with Product, Engineering, and Operations to ensure customer feedback shapes the continuous improvement of DigitalOcean’s products and services. Your technical leadership and consultative approach will be essential in building trusted relationships, influencing strategic decisions, and positioning DigitalOcean as the preferred cloud partner for growing businesses and strategic partners. This is an exciting opportunity to combine your 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, you will be a key technical leader, working closely with some of our most important customers and partners to drive innovation, cloud adoption, and long-term success. You will collaborate with account teams, Technical Account Management, engineering, and partner organizations to solve complex business challenges through technical excellence. In this role, you will guide customers in designing scalable architectures, modernizing legacy systems, and adopting cloud-native solutions. You will influence technical and strategic decisions, ensuring our solutions align with the customer’s business goals while fostering deep and trusted relationships across multiple stakeholders. 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 TensorFlow 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, TensorRT, 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 databases. Demonstrate proficiency in DevOps 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. 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 of 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, and 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 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. 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 like 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:  $141,120 - $176,400