Principal Solutions Architect, AI Ecosystem & Alliances

10 hours, 37 minutes ago
Lead
Software Development
WEKA

WEKA

WEKA provides a cutting-edge data platform for cloud and on-premises data management, offering WekaFS for high-performance storage solutions in data-intensive environments.

IT Services
201-500
Founded 2014
$294M raised

Description

  • Define joint AI solution architectures spanning data ingestion, feature engineering, model training, fine-tuning, and inference serving.
  • Drive certified integrations for enterprise Linux, containers, Kubernetes orchestration, vector databases, and RAG workflows.
  • Evaluate open-source and commercial inference stack options and develop defensible deployment points of view.
  • Coordinate internal and partner technical resources to create reference architectures, validated blueprints, and proof-of-concepts.
  • Influence product roadmaps by prioritizing partner APIs and SDKs based on inference and retrieval architecture needs.
  • Create technical battlecards, solution briefs, and demo environments for partner and internal sales teams.
  • Design and deliver technical enablement programs for solution engineers deploying joint AI solutions.
  • Provide market intelligence and integration feedback to internal product strategy.
  • Represent WEKA at industry events and produce whitepapers and technical blogs on integrated AI infrastructure.
  • Lead alliance strategy, cultivate executive and technical partner relationships, and identify new integration opportunities.

Requirements

  • 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 including PyTorch, TensorFlow, and JAX.
  • Experience across fine-tuning, inference serving, and MLOps monitoring.
  • Ability to translate complex technical concepts into compelling narratives for executive and technical audiences.
  • Demonstrated success executing technology partnerships that drive measurable market impact and revenue growth.
  • Deep experience with OpenShift, Rancher, or Tanzu and Kubernetes-native deployment patterns (preferred).
  • Familiarity with purpose-built vector stores and their role in RAG architectures (preferred).
  • Experience with hyperscalers, GPU vendors, and data lakehouse providers (preferred).
  • MS or PhD in Computer Science, or an MBA (highly desired).
  • Involvement in open-source AI communities or standards bodies (preferred).

Interested in this position?

Apply directly on the company website

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