Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Staff AI Platform Engineer role.
Rezi rewrites your resume against Invoca's job description. Free.
Tailor your resume to this Staff AI Platform Engineer role.
Rezi rewrites your resume against Invoca's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff AI Platform Engineer posting at Invoca — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff AI Platform Engineer posting at Invoca — free, in seconds.
About the Role
Invoca is building the shared AI platform that enables every product and engineering team to deliver intelligent, differentiated customer experiences faster and more reliably. This Staff-level technical leadership role focuses on creating durable competitive advantage through platform leverage, making AI a first-class capability across the company by building shared services, abstractions, and standards.
Responsibilities
- Define and evolve the technical vision for Invoca’s shared AI platform.
- Build reusable AI capabilities (e.g., LLM integrations, retrieval systems, evaluation frameworks, model routing).
- Ensure product teams can safely and easily incorporate AI into customer-facing features.
- 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.
Requirements
- 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.
- A 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.
- Candidates must be based within ~2 hour drive of specified US metro areas.
- Unable to provide initial visa sponsorship for this position.
Skills
- AI
- LLM integrations
- Retrieval systems
- Evaluation frameworks
- Model routing
- Prompt management
- Observability
- Model performance tracking
- Distributed systems
- Platform infrastructure
- Large-scale systems
Location
- Remote
- Greater Los Angeles Area (including Santa Barbara and San Diego)
- SF Bay Area
- Denver Metro
- Austin Metro
- Chicago Metro
- Greater NYC Area
- Seattle Metro
Work Type
- Remote-first
- Full-time
Experience Level
- Staff-level
- Senior
Salary/Compensations
- $180,000 - $273,000 plus bonus + equity
Benefits
- Medical, dental, and vision coverage
- Fertility assistance
- 401(k) plan through Fidelity with a company match of up to 4%
- Stock options
- Mental Health Program (SpringHealth)
- Up to 6 weeks of 100% paid family leave
- Up to 12 weeks of 100% paid medical leave
- Flexible Time Off
- 16 U.S. paid holidays, including a winter break
- InVacation bonus after 7 years of service
- Wellness Subsidy
About the Company
- 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.
- 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.