Staff AI Platform Engineer - Remote, High-Impact

Invoca; United States; À distance; USD 180 000 - 273 000; Plein temps

Avantages offerts par ce poste

Flexible Time Off

Paid Holidays

Health Benefits

401(k) Match

Stock Options

Mental Health Program

Paid Family Leave

Paid Medical Leave

Wellness Subsidy

Résumé du poste

Invoca is seeking a Staff-level engineering leader to shape and scale a shared AI platform that powers AI-enabled product features across teams. You will define the technical vision, build reusable AI capabilities, and drive adoption with a focus on reliability, governance, and measurable business impact.

You’ll lead across engineering, product, and data, ensuring rapid delivery while maintaining safety and observability.

Qualifications

• Deep experience building and operating large-scale distributed systems and platform infrastructure.
• Strong practical experience with modern AI systems including LLMs and retrieval-augmented generation.
• Proven track record of building platforms adopted by multiple product teams.

Responsabilités

• Define and evolve the technical vision for Invoca’s shared AI platform across all product teams.
• Build reusable AI capabilities (LLMs, retrieval, evaluation frameworks) to accelerate product development.
• Ensure teams can safely incorporate AI into customer-facing features without deep AI infra expertise.
• Establish standards for production AI systems and governance to ensure reliable, scalable deployments.

Connaissances

Distributed systems

Modern AI systems

LLMs

Platform infrastructure

Architectural judgment

Cross-functional collaboration

Technical leadership

Clear communication

Ownership mindset

Description du poste

Invoca is seeking a Staff-level engineering leader to shape and scale a shared AI platform that powers AI-enabled product features across teams. You will define the technical vision, build reusable AI capabilities, and drive adoption with a focus on reliability, governance, and measurable business impact.

You’ll lead across engineering, product, and data, ensuring rapid delivery while maintaining safety and observability.