Senior Solutions Architect II, AI/ML
DigitalOcean · New York
Posted about 2 months ago · $150,000 - $186,000
or apply directly on DigitalOcean's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 51 days DigitalOcean's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 68% of DigitalOcean's roles list one
- Ghost-job risk at DigitalOcean
- high 151 stale, 1 reposted of 151 open
- Hiring momentum
- 197 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from DigitalOcean's own greenhouse board since 2026-08-03. Full hiring picture for DigitalOcean.
About this role
As a Senior Solutions Architect II at DigitalOcean, you will leverage your expertise in cloud infrastructure and AI/ML to support high-value customers. Your role involves conducting architecture reviews, developing tailored solutions, and collaborating with various teams to enhance customer experiences and drive product improvements. You will also be responsible for training customers and optimizing their cloud resources while advocating for their needs within the organization.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DigitalOcean as an employer.
What you need
- Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face
- Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models
- Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT)
- Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment
- Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots)
Nice to have
- Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
- NVIDIA Certifications around GPU and AI/ML
- Networking: Cisco/Juniper Certifications
- Programming/Scripting: Ruby, Python, Go, Bash
- Source Code: Git
What you get
- Competitive salary range based on market data and experience
- Bonus eligibility based on company and individual performance
- Equity compensation including grants upon hire and participation in Employee Stock Purchase Program
- Career development resources including reimbursement for conferences and access to LinkedIn Learning courses
- Flexible time off policy
- Employee Assistance Program
Worth weighing
- Remote role
- No specific mention of team size or structure
- Vague details on the exact nature of customer challenges faced
- High expectations for technical depth and communication skills
Summarised from DigitalOcean's posting. Read the full original.
Listed by DigitalOcean on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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