Applied AI Architect, Legal

Intapp

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYCharlotte, NC
Employment
Full-time
Posted
51 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $199k
$131k most similar roles pay here $253k

This listing doesn't post a salary. Most similar roles pay $162,000–$235,750.

Based on 240 similar postings.

Employer

About Intapp

Intapp is a cloud software company providing industry-specific solutions for professional and financial services firms, including practice management, risk and compliance, and deal management platforms. Industry: Enterprise Software & Professional Services Technology

Intapp currently has 12 open roles on FindRole.

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At a glance

TL;DR · Applied AI Architect, Legal

As an Applied AI Architect, Legal, you will join a team operating at the intersection of product, engineering, and enterprise delivery to lead end-to-end deployments of frontier AI models and agentic workflows. You will work directly with customer engineering and business teams to translate ambiguous problems into scalable, production-ready solutions while managing complex integrations across data platforms, APIs, and AI models. Your daily responsibilities include technical scoping, system design, and codifying successful patterns into reusable tools and playbooks. The role requires expertise in deploying LLM-based applications and a deep understanding of how model behavior impacts user experience. You will solve complex problems for professional firms navigating strict regulatory requirements and sensitive information. Key skills include architectural judgment, consulting, and the ability to communicate technical concepts to non-technical stakeholders to drive measurable business outcomes.

What you'll do

  • Lead end-to-end AI deployments from initial discovery and technical scoping through production rollout.
  • Embed with customer engineering teams to identify workflow opportunities and drive adoption of AI solutions.
  • Deliver complex integrations across various data platforms, APIs, and frontier AI models.
  • Translate ambiguous business problems into scalable, production-ready AI systems and agentic workflows.
  • Codify successful deployment patterns into reusable tools, playbooks, and frameworks for internal scalability.
  • Provide structured feedback to Product and Research teams based on real-world usage and model performance.
  • Balance trade-offs between scope, speed, and quality to ensure timely delivery of client outcomes.

What we're looking for

  • 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 and C-level stakeholders.
  • Ability to translate technical concepts into business value and drive measurable outcomes.
  • Demonstrated ability to scope and deliver complex systems in fast-moving, ambiguous environments.
  • Combination of engineering, consulting, and product thinking with strong architectural judgment.
  • Excellent communication skills across both technical and non-technical audiences.

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