Remote Staff AI Platform Architect

Invoca; Los Angeles (CA); Remote; USD 180,000 - 273,000; Full time

Benefits offered by this job

Flexible Time Off

Paid Holidays

Health Benefits

401(k) match

Stock Options

Mental Health Program

Paid Family Leave

Paid Medical Leave

Wellness Subsidy

InVacation bonus

Job summary

Invoca is seeking a Staff-level leader to shape and deliver a shared AI platform that powers product teams across the company. You will build reusable AI capabilities, integrate LLMs, and define production-grade practices to scale AI across products, ensuring safe, efficient, and impactful AI usage.

Location is remote-first in the United States. You will influence architectural decisions, drive platform adoption, and partner with security, legal, and data teams to maintain responsible AI usage.

Qualifications

• Deep experience building and operating large-scale distributed systems or platform infrastructure.
• Strong practical experience with modern AI systems, including LLMs, retrieval-augmented generation, evaluation, and production AI architectures.
• Track record of building platforms or systems that are widely adopted because they meaningfully improve developer or product team productivity.
• Strong architectural judgment with a bias toward simplicity, usability, and adoption over theoretical completeness.
• Experience working closely with product teams to ship customer-facing capabilities, not just internal tooling.
• Strong ability to connect technical decisions to business outcomes and product strategy.
• Excellent communication skills with the ability to influence across teams and levels of seniority.
• High ownership mindset, curiosity, and urgency in fast-moving technical environments.

Responsibilities

• Define and evolve the technical vision for Invoca's shared AI platform across all product teams.
• Build reusable AI capabilities (e.g., LLM integrations, retrieval systems, evaluation frameworks, model routing) that accelerate product development.
• Ensure product teams can safely and easily incorporate AI into customer-facing features without deep AI infrastructure expertise.
• Continuously identify where shared platform investments can unlock new product capabilities or eliminate duplicated engineering effort.
• Reduce friction for teams building, deploying, and iterating on AI-powered features.
• Improve consistency, reliability, and cost efficiency of AI usage across the organization.
• Enable rapid experimentation with AI features while maintaining appropriate safety, governance, and observability.
• Drive adoption of platform capabilities through simplicity, performance, and clear value to product teams.
• Define best practices for building, evaluating, and operating production AI systems at scale.
• Establish frameworks for prompt management, evaluation, observability, and model performance tracking.
• Partner with Security, Legal, and Data teams to ensure responsible and compliant AI usage.
• Improve reliability and quality of AI systems through standardized tooling and shared infrastructure.
• Drive architectural direction across multiple engineering and product teams.
• Influence technical and product decisions through clarity, judgment, and strong technical reasoning.
• Raise the engineering bar by simplifying systems and eliminating unnecessary complexity.
• Act as a trusted technical advisor to senior engineering and product leadership.
• Partner with Product and Engineering leaders to prioritize platform work based on customer and business impact.
• Evaluate platform investments based on adoption, developer productivity, and measurable acceleration of product delivery.
• Ensure the AI platform directly contributes to differentiated customer experiences and competitive positioning.
• Balance long-term platform health with short-term delivery needs.

Skills

Distributed systems

AI systems

Platform engineering

Architectural judgment

Cross-team collaboration

Business outcomes

Communication

Ownership mindset

Job description

Invoca is seeking a Staff-level leader to shape and deliver a shared AI platform that powers product teams across the company. You will build reusable AI capabilities, integrate LLMs, and define production-grade practices to scale AI across products, ensuring safe, efficient, and impactful AI usage.

Location is remote-first in the United States. You will influence architectural decisions, drive platform adoption, and partner with security, legal, and data teams to maintain responsible AI usage.