WEKA
Principal Solutions Architect, AI Ecosystem & Alliances
U.S · Principal
Sponsorship not specifiedDetected 116 days ago
Full-Stack DevelopmentVector DatabasesKubernetesLinuxMachine LearningTensorFlowPyTorchLLMsRAGMLOpsProduct ManagementLeadershipCollaboration
About the role
- This role sits at the intersection of partnership strategy, technical architecture, and field enablement.
- You will be responsible for shaping long-term alliance roadmaps, engaging credibly with solution architects, and preparing global GTM teams to effectively position joint solutions.
- Partnership Strategy & Alliance Management
Responsibilities
- Ecosystem Leadership: Lead alliance strategy across cloud providers, silicon vendors, MLOps platforms, enterprise Linux/container platforms, and vector database providers.
- Joint Business Planning: Build structured business plans with shared objectives, integration milestones, and multi-year roadmaps.
- Executive Relationships: Cultivate relationships from C-suite sponsors to technical architects to maintain long-term strategic alignment.
- Technical Integration: Drive certified workstreams across priority areas:
- Orchestration: Develop validated deployment architectures with Kubernetes optimized for AI workloads.
- Vector Databases: Build integrations for semantic search and Retrieval-Augmented Generation (RAG) workflows.
- Product Influence: Stay current on inference optimization and retrieval architectures to ensure partner APIs/SDKs are prioritized in the internal product roadmap.
- Field Readiness: Develop technical battlecards, solution briefs, and demo environments to equip partner and internal sales teams.
- Technical Training: Design and deliver enablement programs for solution engineers to ensure they can confidently deploy joint AI solutions.
- Voice of the Partner: Feed market intelligence and integration feedback back into internal product strategy.
Requirements
- 8+ years of experience in alliance management, partner engineering, or technical strategy within enterprise software, cloud, or AI/ML platforms.
- AI Lifecycle Expertise: Experience across the software stack, including fine-tuning, inference serving, and MLOps monitoring.
- Solution Articulation: Proven ability to translate complex technical depth into clear, compelling narratives for both executive and technical audiences.
- Cloud-Native Proficiency: Deep experience with OpenShift, Rancher, or Tanzu and Kubernetes-native deployment patterns.
- Ecosystem Knowledge: Experience with hyperscalers, GPU vendors, and data lakehouse providers.
- Familiarity with LLM deployment stacks, GPU compute, and ML frameworks ( PyTorch, TensorFlow, JAX ).
- Proven ability to translate complex technical depth into clear, compelling narratives for both executive and technical audiences.
- Deep experience with OpenShift, Rancher, or Tanzu and Kubernetes-native deployment patterns.
- Familiarity with purpose-built vector stores and their role in RAG architectures.
- Experience with hyperscalers, GPU vendors, and data lakehouse providers.
- Required
- Strong Technical Foundation: Familiarity with LLM deployment stacks, GPU compute, and ML frameworks ( PyTorch, TensorFlow, JAX ).
- Execution: Demonstrated success in executing technology partnerships that result in measurable market impact and revenue growth.
- Preferred
- Modern Data Stack: Familiarity with purpose-built vector stores and their role in RAG architectures.
- Advanced Education: MS/PhD in Computer Science or an MBA is highly desired.
- Community: Involvement with open-source AI communities or standards bodies.
- The WEKA Way:
- We are Accountable: We take full ownership, always-even when things don't go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
Nice to have
- Demonstrated success in executing technology partnerships that result in measurable market impact and revenue growth.
Skills
- Continuously identify new integration opportunities and negotiate partnership frameworks in collaboration with Legal and BizDev.
- Joint Solution Development & Architecture
Compensation
- This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Company info
- We take full ownership, always-even when things don't go as planned.
- We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
- We question the status quo, push boundaries, and take smart risks when needed.
- We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
- True collaboration isn't only about working together.
- It's about lifting one another up to succeed collectively.
- We are team-oriented and communicate with empathy and respect.
- We challenge each other and conduct positive conflict resolution.
- We are being transparent about our goals and results.
- And together, we're unstoppable.
- We are seeking a technically fluent Principal Solutions Architect to lead our strategic partnership strategy across the enterprise AI infrastructure ecosystem.
This listing is sourced directly from WEKA's careers page and normalized into a canonical job model.