Instacart
AI Solutions Architect
Rol remoto de Professional Services con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles2 países aceptados
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
CanadáEstados Unidos
Resumen del rol
AI Solutions Architect
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
About the Job
- Own data modeling, integration design, and governance across every engagement; serve as the senior technical authority from pre-sales through delivery.
- Map customer data and Instacart's data ontology together, and gate technical feasibility before any build begins.
- Establish integration patterns between the Intelligence Platform and partner systems, e.g.,POS, ERP, loyalty, CRM, Snowflake, proprietary APIs, and mobile surfaces.
- Bridge partner technical requirements with Instacart R&D roadmaps, APIs, and SDKs; surface gaps and advocate for platform changes needed to serve the field.
- Prototype and code in real-time alongside partners
- Review designs and unblock the Forward Deployed Engineers to ensure architectural integrity across the pod's engagements.
- Codify reusable integration patterns into scalable architecture templates as the pod scales.
Minimum Qualifications
- 10+ years in solutions architecture, data engineering, or senior software engineering, with demonstrated experience designing enterprise-scale systems.
- Deep expertise in data architecture and modeling across messy, heterogeneous enterprise environments, with enough AI/ML familiarity to understand how data quality and structure determine what is possible on the intelligence layer.
- Experience designing integrations across complex enterprise environments including ERP, POS, Snowflake, and proprietary APIs.
- Hands-on coding is non-negotiable — the ability to build is as important as the ability to design.
- Proven customer-facing experience presenting technical architectures to both engineering and executive audiences.
- Strong systems thinking — able to hold the full technical picture of a complex engagement while also working in the details.
- Comfort defining architecture from first principles in greenfield, ambiguous environments.
Preferred Qualifications
- Background in retail tech, e-commerce infrastructure, or CPG data systems (POS, ERP,, Snowflake).
- Familiarity with open agent standards or multi-agent orchestration frameworks.
- Prior experience in enterprise software implementation or systems integration.
- Startup or high-growth environment experience.
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