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AI Architect

KLDiscoveryUnited States🌍 Remote
Full-timeSenior
$190k - $230k
per year
👁️ 5 views📝 0 applicationsPosted 8/3/2026Expires 10/2/2026
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Job Description

About KLDiscovery KLDiscovery is a global eDiscovery and legal technology provider serving large law firms, corporate legal departments, and government agencies. We build and operate the products and services that legal teams rely on to manage, process, and review case data at scale.

With operations across multiple countries and a client base that includes AmLaw 200 firms, we handle some of the largest and most complex matters in the industry.

About the Role

We're hiring our most senior AI practitioner. As AI Architect, you'll own the north star for gen AI and ML engineering at KLDiscovery and build alongside the team to make it real. This is one of the most interesting AI problem sets in enterprise software.

You'll work with terabytes of real-world legal data, including emails, contracts, chat transcripts, images, video, depositions, and regulatory filings from some of the largest litigation and investigation matters in the world.

The work is hard in ways that matter: documents are messy and adversarial, the stakes are real (privilege, defensibility, attorney work product), and the upside is enormous.

AI that can surface key people, themes, and timelines in hours instead of weeks, or pre-classify millions of documents for relevance and privilege, directly changes the economics of how legal matters get resolved. This is a builder-first role.

You'll design and ship agent workflows that take on attorney-level work, retrieval systems that reason over case data, and evaluation harnesses that prove our AI is defensible in court.

You'll set strategic direction across Nebula, our eDiscovery platform, and CS & Operations, then prove the architecture by building the hardest parts yourself. Not a role for anyone stepping back from the keyboard.

We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, i

Required Skills

LitigationMachine Learning

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