Solutions Architect - Enterprise
Role details
Job location
Tech stack
Job description
You'll work closely with Pathway's go-to-market team and research engineers to translate BDH's core capabilities-continuous learning, efficiency, interpretability-into scalable reference architectures across our client base. This role works cross-functionally with Sales, Product, R&D, and Engineering to ensure technical success, customer adoption, and rapid feedback into our roadmap., * Ideate, scope, and build pre-sales technical solutions/reference architectures for BDH deployment within enterprise customer segments.
- Partner with our engineers to deploy BDH directly in customer environments, demonstrating measurable improvements over static models.
- Collaborate with hyperscaler partners to align BDH deployments with cloud-native infrastructure, security standards, and co-sell motions.
- Create solutions and content to accelerate the GTM motion
- Partner with GTM to lead technical discovery workshops with CTOs and heads of AI/Innovation
- Serve as the bridge between customer environments and Pathway's research teams, synthesizing feedback on BDH's performance, tooling, and integration needs into actionable insights for Product and R&D
- Develop reusable solution patterns for enterprise customers as we scale
- Codify best practices into internal playbooks and technical documentation to scale BDH' enterprise readiness
Requirements
Do you have experience in Machine learning?, Do you have a Doctoral degree?, * Have 5+ years of experience in technical consulting, solutions engineering, or applied AI roles-ideally at a foundational AI model player, an AI scale-up
- Have some familiarity with building APIs, data pipelines, and ML integrations
- Have a good understanding of generative AI architectures, including experience using or deploying AI models (flagship LLMs / open source LLMs / SLMs)
- Have strong systems thinking, ability to map business problems to technical architectures, and anticipate scaling, latency, and operational cost implications
- Effective communication, ability to translate business and technical topics to all audiences, including senior leaders
- Eager to own problems end-to-end and fill missing gaps to get the job done
- Comfort operating in early-stage companies, willing to build out our solution playbook
- Humility, collaboration, and a builder mentality
- Ability to travel up to 50%.
- Are respectful of others.
- Are fluent in English.
Benefits & conditions
- Lead the first real-world deployments of a next-generation AI model that's redefining the foundations of how intelligence is built and applied.
- Work in a fast-paced, high-growth environment (HQ in the heart of Silicon Valley) with room to innovate, contribute, and lead
- Access tier 1 internal technical resources (e.g., research engineers, BDH platform architects, PhDs in neural networks, etc.)