Senior Solutions Architect II (AI/ML)

Linuxconfig; United States; Híbrido; USD 100.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual bonus

Equity grant

Flexible time off

Training reimbursement

Mental health support

Descripción de la vacante

DigitalOcean is seeking a Senior Solutions Architect II to join our strategic accounts team, focusing on AI/ML and GPU-based cloud solutions. In this customer-facing role, you will design scalable cloud architectures and guide customers through cloud adoption, positioning DigitalOcean as the preferred cloud partner for AI/ML workloads.

You will lead pre-sales engagements, deep dives, and workshops with cross-functional teams to deliver impactful cloud solutions and drive customer success.

Formación

• 7+ 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, with hands-on experience deploying and fine-tuning LLMs.
• Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems (CUDA, ROCm).
• Hands-on experience with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices.
• Excellent communication skills and proven ability to lead complex technical engagements from discovery through post-deployment success.

Responsabilidades

• Act as a trusted technical advisor for strategic accounts and partners, guiding them through AI/ML and GPU-based workload optimization.
• Design, present, and implement scalable cloud architectures, modernization strategies, and AI solutions tailored to customer needs.
• Lead technical deep dives, workshops, proof-of-concepts, and executive briefings to accelerate cloud adoption.
• Demonstrate expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and optimize workloads using inference engines like vLLM, SGLang, and TensorRT.
• Collaborate with Sales, Technical Account Management, Product, Engineering, and Operations teams to deliver technical solutions and gather customer feedback for product improvements.

Conocimientos

AI/ML frameworks

Kubernetes

Linux

DevOps practices

Communication

Herramientas

Docker

Terraform

CI/CD pipelines

Descripción del empleo

DigitalOcean is seeking a Senior Solutions Architect II to join their strategic accounts team, focusing on AI/ML and GPU-based cloud solutions. In this customer-facing technical leadership role, you will design and implement scalable cloud architectures, guide customers through cloud adoption, and position DigitalOcean as the preferred cloud partner for AI/ML workloads.

What You'll Do

• Act as a trusted technical advisor for strategic accounts and partners, guiding them through AI/ML and GPU-based workload optimization
• Design, present, and implement scalable cloud architectures, modernization strategies, and AI solutions tailored to customer needs
• Lead technical deep dives, workshops, proof-of-concepts, and executive briefings to accelerate cloud adoption
• Demonstrate expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and optimize workloads using inference engines like vLLM, SGLang, and TensorRT
• Collaborate with Sales, Technical Account Management, Product, Engineering, and Operations teams to deliver technical solutions and gather customer feedback for product improvements

What You Need

• 7+ 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, with hands-on experience deploying and fine-tuning LLMs
• Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems (CUDA, ROCm)
• Hands-on experience with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices
• Excellent communication skills and proven ability to lead complex technical engagements from discovery through post-deployment success

Nice to Have

• 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 in multi-cloud or hybrid cloud architectures
• Advanced AI/ML and GPU certifications from major providers like NVIDIA and AMD
• Published technical content such as blogs, whitepapers, or solution guides on cloud architecture and modernization strategies

Base Salary Range: $100,000–$120,000. On-Target Earnings (OTE): $133,333–$160,000. Eligible for annual bonus plan, new hire equity grant, flexible time off, conference and training reimbursement, and comprehensive benefits including mental health support.