Principal Solutions Architect, Ai Ecosystem & Alliances

Wekatest

Remote
**
Enterprise ai infrastructure ecosystem
Joint value propositions
Full ai stack solutions
** Wekatest is seeking a Principal Solutions Architect to lead its strategic partnership initiatives within the enterprise AI infrastructure ecosystem. This remote role involves defining joint value propositions, managing alliances, and developing integrated AI solutions while ensuring effective communication with technical and executive stakeholders. **

Job Summary

  • Lead strategic partnership strategy across the enterprise AI infrastructure ecosystem, defining joint value propositions and creating differentiated solutions across the full AI stack.
  • Shape long-term alliance roadmaps, engage credibly with solution architects, and prepare global GTM teams to effectively position joint solutions.
  • Develop architectures spanning data ingestion, feature engineering, model training, fine-tuning, and inference serving, driving certified workstreams across key integration areas.

Matching Summary

Match Score: 75

** Wekatest is seeking a Principal Solutions Architect to lead its strategic partnership initiatives within the enterprise AI infrastructure ecosystem. This remote role involves defining joint value propositions, managing alliances, and developing integrated AI solutions while ensuring effective communication with technical and executive stakeholders. **

Skills & Requirements

Must-have

  • Enterprise AI infrastructure ecosystem
  • Joint value propositions
  • Full AI stack solutions
  • Partnership strategy
  • Technical architecture
  • Field enablement
  • Alliance roadmaps
  • LLM deployment stacks
  • GPU compute
  • ML frameworks
  • AI lifecycle expertise
  • Solution articulation
  • Technology partnerships execution

Nice-to-have

  • Cloud provider partnerships
  • Silicon vendor partnerships
  • MLOps platform partnerships
  • Enterprise Linux/container platform partnerships
  • Vector database provider partnerships
  • Cloud-native proficiency
  • Modern data stack familiarity

Key Requirements

  • 8+ years of experience in alliance management, partner engineering, or technical strategy
  • Strong technical foundation in LLM deployment, GPU compute, and ML frameworks
  • AI lifecycle expertise across fine-tuning, inference serving, and MLOps monitoring
  • Proven ability to translate complex technical depth into clear narratives
  • Demonstrated success in executing technology partnerships
  • Cloud-native proficiency with OpenShift, Rancher, or Tanzu and Kubernetes
  • Familiarity with purpose-built vector stores and RAG architectures

Work Rights

Not specified

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