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Senior Solutions Architect II – AI/ML
Location
California
Posted
56 days ago
Salary
$150K - $182K / year
Seniority
Senior
Job Description
Senior Solutions Architect II – AI/ML
DigitalOcean
• Serve as a technical partner to the success and sales teams. • Perform architecture reviews, proof of concepts, demos, and uncover customer technical needs. • Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms. • Advocate for customers by providing feedback to product teams and driving new feature development. • Offer personalized onboarding assistance and guide customers through their cloud journey. • Design and review architecture tailored to specific business use cases. • Identify opportunities for cost reduction and performance improvement. • Conduct technical consultation sessions, workshops, and training for customers. • Partner with Growth Account Managers and Customer Success Managers to create success plans.
Job Requirements
- 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).
- Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
- Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
- Passionate about customer experience and leveraging AI/ML to solve complex business problems.
- Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
- Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
- Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
Benefits
- Competitive salary
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses
- Employee Assistance Program
- Flexible time off policy
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