Tabular AI Solution Architect (AI)

Location: United States, remote; preferred time zone is East Coast. Travel to customers as needed and two to three trips per year to Paris, including onboarding.

Company

hirify.global develops and maintains open-source data science tools and builds Skore, a tabular AI platform founded by the creators of scikit-learn.

What you will do

• Own and adapt the reference Skore demo to prospects' use cases.
• Lead technical discovery with data science leads and platform teams.
• Scope proofs of concept around a clear customer-data question and go/no-go decision.
• Run hands-on workshops and hackathons with prospects, partners, and schools.
• Answer architecture, security, deployment, and stack-integration questions across on-premises, BYOC, and cloud environments.
• Support technical qualification, RFPs, evaluation workshops, and product feedback alongside Sales and Product.

Requirements

• 5+ years in data science or ML engineering, followed by pre-sales or solutions work for a data or AI product; production model-building and experience selling improved model development are required.
• End-to-end tabular data expertise, including scikit-learn, gradient boosting, PyTorch, time series, and model evaluation and validation.
• Ability to inspect data pipelines, identify leakage, and demonstrate sound evaluation in a notebook.
• Strong presentation and facilitation skills for demos, whiteboarding, discovery calls, and technical discussions with senior stakeholders.
• Comfort working with enterprise buying groups across data science, IT, security, procurement, and economic buyers.
• Must be based in the United States and able to work remotely, with customer travel and periodic trips to Paris.

Nice to have

• Experience with agentic or LLM-based data science tooling and critical evaluation of its outputs.
• Kubernetes and cloud fundamentals.
• Experience with tabular and time series foundation models, including TabICL.
• Open-source contributions in the Python data ecosystem.

Culture & Benefits

• Work with the Services team of applied AI field engineers and solution architects.
• Use and improve an existing demo kit and proof-of-concept playbook for the US market.
• Participate in a weekly Product–Services sync with direct customer influence on the roadmap.
• Compensation includes fixed and variable components tied to pipeline and closed deals; the band is to be confirmed.
• Start as soon as possible; freelancing is not available.

Hiring process

• The process takes three weeks from the first call to offer.
• Stages: 30-minute call with the VP Services, 30-minute call with the US sales lead, practical evaluation, 30-minute call with a co-founder, then an offer.