Senior Solutions Architect - Partner Ecosystem

About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners.

Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.

Summary

Anaconda is seeking a talented Senior Partner Ecosystem Solution Architect to join our rapidly-growing company. This is an excellent opportunity to leverage your experience and skills at the intersection of data science, AI, and cloud technologies.

What You’ll Do:

• Design, document, and maintain cloud-native and hybrid reference architectures showcasing Anaconda’s integration with leading platforms, with an emphasis on AI/ML workloads
• Create reusable templates and deployment guides for scalable AI pipelines across AWS Sagemaker, Azure Machine Learning, Google Vertex AI, Databricks ML, and NVIDIA AI Enterprise
• Guide customers in architecting modern AI/ML platforms combining Anaconda’s capabilities with:
• • NVIDIA: Triton Inference Server, NGC containers, CUDA/XLA
  • AWS: SageMaker, Bedrock, EC2 with GPU, EKS
  • Azure: Machine Learning, OpenAI Service, AKS
  • GCP: Vertex AI, AI Platform, Deep Learning VMs
  • Databricks: MLflow, Unity Catalog, Feature Store
  • Snowflake: AI/ML across Snowpark, Snowflake container services, Cortex
• Drive joint solution development with partners to showcase performant, secure, and production-ready AI/ML architectures
• Work with Product and Engineering teams to align roadmaps with customer and partner needs
• Collaborate with AWS, Azure, Google, NVIDIA, and Databricks technical teams on joint architectures and validation content
• Produce technical white papers, blogs, and best practices content
• Present at webinars, partner events, and conferences
• Serve as a trusted advisor in the pre-sales process, guiding architectural decisions and assisting with proof-of-concepts

What You Need:

• Hands-on experience with GPU acceleration technologies (NVIDIA CUDA, RAPIDS, Triton Inference Server)
• Proven experience deploying AI/ML workloads on AWS
• Extensive experience in solution architecture, ML engineering, or technical consulting role focused on AI/ML
• Experience with Databricks ML and managing pipelines using MLflow or Delta Lake
• Strong understanding of MLOps practices, including CI/CD, model governance, and reproducibility
• Excellent communication skills for technical, non-technical and executive audiences
• Strong cross-functional collaboration skills
• You embody our values of Clarity, Care, and Candor
• You care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out:

• Familiarity with Anaconda Distribution, conda environments, or enterprise Python/R package management
• Infrastructure automation experience with Terraform or Helm
• Professional certifications from AWS, Azure, or GCP