Applied AI Architect at Intapp developing and deploying AI solutions for enterprise clients. Collaborating across teams and driving adoption of AI technologies in complex environments.
Responsibilities
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.
Requirements
Proven experience deploying AI/ML systems into production (including LLM-based applications).
Strong understanding of how model behavior impacts product performance and user experience.
Experience working directly with enterprise customers, including C-level stakeholders.
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.
Excellent communicator across technical and non-technical audiences.
Benefits
Professional development opportunities supported by a community of experienced professionals.
Reimbursement for training and continuing education to help you stay ahead in your career.
Modern, open offices designed to inspire creativity and collaboration.
Complimentary lunches and fully stocked kitchens.
Comprehensive wellness and flexible time off programs.
Family-formation benefits and support during your family-building journey.
Paid volunteer time off and a donation matching program.
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