Skip to content

Sales engineering

Principal Solutions Architect, AI Ecosystem & Alliances

WEKA logoWEKARemote from United StatesListed 7mo ago

The posting

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 shape long-term alliance roadmaps, engage credibly with solution architects, and prepare global GTM teams to effectively position joint solutions.

Joint Solution Development & Architecture

  • Full-Stack Architecture: Define architectures spanning data ingestion, feature engineering, model training, fine-tuning, and inference serving.
  • Technical Integration: Drive certified workstreams across priority areas:
  • Enterprise Linux & Containers: Certified integrations with platforms like OpenShift to ensure AI workloads are deployable in hardened environments.
  • Orchestration: Develop validated deployment architectures with Kubernetes optimized for AI workloads.
  • Vector Databases: Build integrations for semantic search and Retrieval-Augmented Generation (RAG) workflows.
  • Inference: Evaluate technical deltas between open source and commercial offerings, authoring defensible PoV on inference stack deployment.
  • Engineering Liaison: Coordinate cross-organizational technical resources to produce reference architectures, validated blueprints, and technical PoCs.
  • Product Influence: Stay current on inference optimization and retrieval architectures to ensure partner APIs/SDKs are prioritized in the internal product roadmap.

GTM Enablement & Thought Leadership

  • 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.
  • Industry Presence: Represent the company at conferences and summits; author whitepapers and technical blogs on integrated AI infrastructure.

Partnership Strategy & Alliance Management

  • Ecosystem Leadership: Lead alliance strategy across cloud providers, silicon vendors, MLOps platforms, enterprise Linux/container platforms, and vector database providers.
  • Executive Relationships: Cultivate relationships from C-suite sponsors and technical architects to maintain long-term strategic alignment.
  • Market Assessment: Continuously identify new integration opportunities and negotiate partnership frameworks.

Required

  • 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.

Preferred

  • 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.

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.
  • We are Brave : 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.
  • We are Collaborative : 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 Customer Centric : Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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.

Where you can sell from

Fully remote, for people based in United States.

Taken from WEKA's own posting, last seen live on 1 Nov 2026.

The application

Your details and LinkedIn, then 1 question.

Have readyLinkedInCV (optional)Cover letter (optional)
  1. 1.
    Are you legally authorized to work in the country where this position is located? If yes, please specify your work authorization type (e.g., citizenship, permanent residency, work visa, etc.).Short answer

From WEKA's apply page, checked 2 Nov 2026.

About WEKA

Sells NeuralMesh, software-defined storage built to keep GPUs fed, to enterprises, research labs, hyperscalers and AI cloud providers.

Pay schedule: Quota-carrying roles paid on an OTE (base plus commission), with US postings listing medical, dental, vision, life cover, a 401(k) and flexible time off.

Sales roles close to this one

The one who runs the technical demo?

Hiring managers ask us for sellers with a certain segment, territory or track record. Fill in one profile, and when a seat matches it we make the introduction, never without your yes. It costs you nothing.

Build my profile

WEKA sales openings in your inbox

We look at WEKA's careers page every hour. Once a week you get its newest sales openings, plus close matches at other companies. Free, and one click stops it.