Principal Solutions Architect, AI Ecosystem & Alliances

What you'll do

• Define and validate full-stack AI architectures and integrations, including reference architectures, blueprints, and technical proofs of concept.
• Develop partner strategy and relationships, identify integration opportunities, and influence internal product roadmaps with partner and market feedback.
• Create technical enablement materials and training, and represent the company through conferences and technical publications.

What they ask for

• 8+ years of experience in alliance management, partner engineering, or technical strategy within enterprise software, cloud, or AI/ML platforms.
• Familiarity with LLM deployment stacks, GPU compute, and ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience across the AI software stack, including fine-tuning, inference serving, and MLOps monitoring.
• Demonstrated ability to execute technology partnerships with measurable market impact and revenue growth, and articulate complex technical concepts to executive and technical audiences.

Nice to have

• Deep experience with OpenShift, Rancher, or Tanzu and Kubernetes-native deployment patterns; familiarity with vector stores and RAG architectures.
• Experience with hyperscalers, GPU vendors, and data lakehouse providers; MS/PhD in Computer Science or an MBA; involvement in open-source AI communities or standards bodies.

Tools

OpenShift, Kubernetes, PyTorch, TensorFlow, JAX, Rancher, Tanzu

AI focus

Develops and integrates enterprise AI infrastructure solutions across data ingestion, feature engineering, model training, fine-tuning, inference serving, and RAG; includes evaluating inference stacks and enabling AI deployments.