Senior Solutions Architect II - AI/ML

about 2 hours ago

San Francisco, CA, USA

Senior / Staff+

H1B Sponsor

Base Salary

$150k - $182k/yr

Responsibilities

Develop deep expertise in DigitalOcean's product portfolio and AI/ML platforms.
Advocate for customers by providing feedback to product teams and overcoming adoption blockers.
Offer personalized onboarding assistance and guide customers through their cloud journey.
Design and review architecture tailored to specific business use cases.
Implement infrastructure management best practices to secure and optimize cloud resources.
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.
Provide regular presentations articulating product benefits and technical solutions.
Demonstrate expertise in AI/ML frameworks and optimize GPU workloads.
Liaise with Engineering and Support teams to resolve escalations.
Identify and drive process improvement opportunities across the organization.
Contribute to internal and external documentation.
Build tools to enhance the experience of Premium Support customers.
Demonstrate proficiency in DevOps tools and cloud-native technologies.
Work independently and collaboratively with a global team.

Proven experience with cloud infrastructure and AI/ML platforms.
Expertise in AI/ML frameworks like TensorFlow and PyTorch.
Experience deploying and fine-tuning LLMs and GenAI models.
Deep knowledge of Linux, distributed systems, and GPU optimization techniques.
Hands-on experience with various quantization methods for efficient model deployment.
Programming experience in building AI-powered applications.
Experience in a post-sales or technical consultant role focused on AI/ML.
Knowledge of provisioning and deployment strategies using tools like Terraform.
Strong understanding of AI/ML data pipelines and cloud-native databases.
Excellent communication skills to explain technical concepts clearly.
Fluency in English and a self-starter mentality.

Competitive array of benefits including Employee Assistance Program and flexible time off policy.
Reimbursement for relevant conferences, training, and education.
Access to LinkedIn Learning's 10,000+ courses for continued growth.
Equity compensation and potential bonuses based on performance.

AnsibleBashChefDigitalOceanDockerGitGoKubernetesLinuxMongoDBMySQLPostgreSQLPuppetPythonPyTorchRedisRubyTensorFlowTerraform