AI Platform Engineer

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

You'll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

AI is rapidly reshaping how software products create value for customers. At Invoca, we are building the shared AI platform that enables every product and engineering team to deliver intelligent, differentiated customer experiences faster and more reliably.

This is a Staff-level technical leadership role focused on creating durable competitive advantage through platform leverage-not maintaining infrastructure, and not building isolated technical systems.

Your mission is to make AI a first-class capability across the company by building the shared services, abstractions, and standards that allow product teams to ship high-quality AI features without becoming AI infrastructure experts.

Success in this role is measured by business impact: how quickly and effectively product teams deliver AI-powered capabilities, how widely the platform is adopted, and how meaningfully it improves customer outcomes.

You will operate at the intersection of engineering, product, data, and leadership, shaping how Invoca builds and scales AI-powered software.

Build AI as a Core Product Capability

• 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.

Accelerate Delivery of AI-Powered Products

• 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.

Establish Standards for Production AI Systems

• 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.

Lead Through Technical Influence

• 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.

Connect Platform Investment to Business Outcomes

• 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.

We’re looking for engineers who build leverage-not just systems.

You likely have:

• Deep experience…