Senior Solutions Architect II, AI/ML

DigitalOcean

. Serve as a trusted technical advisor for strategic accounts and partners, focusing on AI/ML and GPU-based workloads .

Posted 11/5/2026full-timeRemote • California • United StatesSenior💰 $100,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML frameworks such as TensorFlow and PyTorch, with a strong focus on deploying scalable architectures and solutions tailored to customer needs. Proven ability to lead technical engagements and optimize AI workloads using advanced techniques and tools.

Highest-signal resume keywords

Solutions ArchitectureAI/ML FrameworksKubernetesTechnical ConsultingPre-Sales Strategy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TensorFlowPyTorchKubernetesCUDAROCmSFTLoRAQLoRAQuantization MethodsVLLM

Soft Skills

Excellent CommunicationConsultative ApproachLeadership

Tools & Technologies

DockerTerraformCI/CD PipelinesNFSObject StorageHigh-Performance Inference Engines

Industry Keywords

AI SolutionsGPU WorkloadsCloud SolutionsTechnical AdvisorCustomer Engagement

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerKubernetesLinuxNFSPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Serve as a trusted technical advisor for 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
Guide customers in building scalable AI applications such as chatbots, inference services, and recommendation systems using Kubernetes, NFS, and databases
Optimize AI/ML workloads using high-performance inference engines and quantization methods
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
Measure technical growth enablement, time-to-value, POC and migration success, and product-feature advocacy

Requirements

What you’ll 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 including TensorFlow and PyTorch and platforms like Hugging Face
Experience deploying and fine-tuning LLMs and other GenAI models using SFT, LoRA, and QLoRA techniques
Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems including CUDA and ROCm
Hands-on experience with vLLM, SGLang, TensorRT, and quantization methods including INT4, INT8, and FP8
Familiarity with 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 through post-deployment success
Strong consultative approach to identifying customer needs and crafting tailored cloud solutions aligned with business objectives

Benefits

Comp & perks

Annual bonus plan eligibility, with bonus amounts dependent on company and individual performance
Potential new hire equity grant, subject to plan terms and local eligibility
Potential participation in Employee Stock Purchase Program in participating countries
Flexible time off
Local team meetups
Mental health and well-being support
Reimbursement for relevant conferences, training, and education, subject to company policy
Professional development resources
Remote work