Staff AI Platform Engineer
About The Position
Invoca is seeking a Staff AI Platform Engineer to join their dynamic, fast-growing team. This is a Staff-level technical leadership role focused on creating durable competitive advantage through platform leverage. The 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. The role operates at the intersection of engineering, product, data, and leadership, shaping how Invoca builds and scales AI-powered software.
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.
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.
Benefits
- Flexible Time Off
- 16 U.S. paid holidays, including a winter break
- 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 leave for baby bonding, adoption, and caring for family members
- Up to 12 weeks of 100% paid leave for childbirth and medical needs
- InVacation bonus after 7 years of service
- Wellness Subsidy for gym memberships, fitness classes, and more
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
