Senior Solutions Architect II - AI/ML
DigitalOceanabout 3 hours ago
Boston, MA, USA
Senior / Staff+
H1B Sponsor
Base Salary
$150k - $182k/yr
Responsibilities
- Serve as a technical partner to success and sales teams.
- Perform architecture reviews and proof of concepts.
- Advocate for customers by providing feedback to product teams.
- Offer personalized onboarding assistance and resolve technical blockers.
- Design and review architecture tailored to specific business use cases.
- Implement infrastructure management best practices.
- Identify opportunities for cost reduction and performance improvement.
- Conduct technical consultation sessions and workshops.
- Partner with Growth Account Managers to create success plans.
- Provide presentations articulating product benefits and solutions.
- Demonstrate expertise in AI/ML frameworks and deployment.
- Optimize GPU workloads and build scalable AI applications.
- Liaise with Engineering and Support teams to resolve escalations.
- Identify and drive process improvement opportunities.
- Contribute to internal and external documentation.
- Build tools to enhance the experience of Premium Support customers.
- Demonstrate proficiency in DevOps tools and cloud technologies.
- Work independently and collaboratively with a global team.
Requirements
- 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 Kubernetes.
- Hands-on experience with GPU optimization techniques.
- Programming experience in building AI-powered applications.
- Experience in a post-sales or technical consultant role.
- Knowledge of provisioning and deployment tools like Terraform.
- Strong understanding of AI/ML data pipelines and integration strategies.
- Excellent communication skills to explain technical concepts.
- Fluency in English and a self-starter mentality.
Benefits
- Competitive array of benefits including Employee Assistance Program.
- Reimbursement for relevant conferences, training, and education.
- Access to LinkedIn Learning's 10,000+ courses.
- Flexible time off policy.
- Equity compensation and potential bonuses based on performance.
Tech Stack
AnsibleBashChefDigitalOceanDockerGitGoKubernetesLinuxMongoDBMySQLPostgreSQLPuppetPythonPyTorchRedisRubyTensorFlowTerraform
Categories
AI & MLDevOps