Principal Solutions Architect, AI Ecosystem & Alliances

WEKA

3d

About The Position

We are seeking a technically fluent Principal Solutions Architect to lead our strategic partnership strategy across the enterprise AI infrastructure ecosystem. You will define joint value propositions that articulate the combined strength of our technology alongside partner platforms, creating differentiated solutions across the full AI stack.
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.

Requirements

• 8+ years of experience in alliance management, partner engineering, or technical strategy within enterprise software, cloud, or AI/ML platforms.
• Strong Technical Foundation: Familiarity with LLM deployment stacks, GPU compute, and ML frameworks (PyTorch, TensorFlow, JAX).
• 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.
• Execution: Demonstrated success in executing technology partnerships that result in measurable market impact and revenue growth.

Nice To Haves

• Cloud-Native Proficiency: Deep experience with OpenShift, Rancher, or Tanzu and Kubernetes-native deployment patterns.
• Modern Data Stack: Familiarity with purpose-built vector stores and their role in RAG architectures.
• Ecosystem Knowledge: Experience with hyperscalers, GPU vendors, and data lakehouse providers.
• Advanced Education: MS/PhD in Computer Science or an MBA is highly desired.
• Community: Involvement with open-source AI communities or standards bodies.

Responsibilities

• Lead alliance strategy across cloud providers, silicon vendors, MLOps platforms, enterprise Linux/container platforms, and vector database providers.
• Build structured business plans with shared objectives, integration milestones, and multi-year roadmaps.
• Cultivate relationships from C-suite sponsors to technical architects to maintain long-term strategic alignment.
• Continuously identify new integration opportunities and negotiate partnership frameworks in collaboration with Legal and BizDev.
• Define architectures spanning data ingestion, feature engineering, model training, fine-tuning, and inference serving.
• Drive certified workstreams across priority areas: Enterprise Linux & Containers: Certified integrations with platforms like OpenShift to ensure AI workloads are deployable in hardened environments.
• Develop validated deployment architectures with Kubernetes optimized for AI workloads.
• Build integrations for semantic search and Retrieval-Augmented Generation (RAG) workflows.
• Coordinate cross-organizational technical resources to produce reference architectures, validated blueprints, and technical PoCs.
• Stay current on inference optimization and retrieval architectures to ensure partner APIs/SDKs are prioritized in the internal product roadmap.
• Develop technical battlecards, solution briefs, and demo environments to equip partner and internal sales teams.
• Design and deliver enablement programs for solution engineers to ensure they can confidently deploy joint AI solutions.
• Feed market intelligence and integration feedback back into internal product strategy.
• Represent the company at conferences and summits; author whitepapers and technical blogs on integrated AI infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees