Intapp's Applied AI Architects (AAA) operate at the intersection of product, engineering, and enterprise delivery-you will lead end-to-end deployments of frontier AI models and agentic workflows, embedding directly with customer teams to solve complex, real-world problems that extend beyond out-of-the-box product capabilities.
AAAs are critical to both AI roadmap acceleration and enterprise adoption, directly influencing revenue expansion, customer retention, and product evolution through real-world feedback loops.
Success in this role is defined by:
- Production adoption of AI solutions
- Measurable workflow and business impact
- Insights that shape product and model roadmaps
You will work cross-functionally with Product, Research, Partnerships, GRC, Security, and GTM teams while operating as a trusted advisor to enterprise stakeholders.
What You Will Do- Lead end-to-end AI deployments from discovery and technical scoping through system design, build, and production rollout
- Embed with customer engineering and business teams to understand workflows, identify opportunities, and drive adoption
- Support in delivering complex integrations across data platforms, APIs, and AI models
- Balance trade-offs across scope, speed, and quality, adjusting execution to protect delivery timelines and outcomes
- Translate ambiguous business problems into scalable, production-ready AI solutions
- Codify successful patterns into reusable tools, playbooks, and frameworks to improve scalability
- Provide structured feedback loops to Product and Research teams based on real-world usage and model performance
- Drive clarity, alignment, and momentum across internal and external stakeholders
What You Will Need- Proven experience deploying AI/ML systems into production (including LLM-based applications), with a strong understanding of how model behavior impacts product performance and user experience
- Experience working directly with enterprise customers, including C-level stakeholders; able to translate technical concepts into business value and drive adoption, expansion, and measurable outcomes
- Demonstrated ability to scope and deliver complex systems in fast-moving, ambiguous environments; strong judgment, prioritization, and ability to manage risk across multiple deployments
- Combines engineering, consulting, and product thinking; strong systems and architectural judgment with an ownership mentality and ability to operate autonomously while influencing cross-functional teams
- Excellent communicator across technical and non-technical audiences, with the ability to simplify complexity and drive alignment
