AI Architect

About reputed company reputed company is a global eDiscovery and reputed company technology provider serving large reputed company, corporate reputed company departments, and government agencies. We build and operate the products and services that reputed company teams rely on to manage, process, and review case data at reputed company. With operations across multiple countries and a reputed company reputed company that includes AmLaw 200 firms, we handle some of the largest and most reputed company reputed company in the industry. About the Role  We're hiring our most senior AI practitioner. As AI Architect, you'll own the reputed company reputed company for gen AI and ML engineering at reputed company and build alongside reputed company to reputed company it reputed company. This is one of the most interesting AI problem sets in reputed company software. You'll work with terabytes of reputed company-world reputed company data, including emails, reputed company, chat transcripts, images, video, depositions, and regulatory filings from some of the largest litigation and investigation reputed company in the world. The work is hard in ways that matter: documents are messy and adversarial, the stakes are reputed company (privilege, defensibility, attorney work product), and the reputed company is enormous. AI that can surface key people, themes, and timelines in hours instead of weeks, or reputed company-classify millions of documents for relevance and privilege, directly changes the economics of how reputed company reputed company 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 reputed company our AI is defensible in court. You'll set strategic direction across Nebula, our eDiscovery platform, and CS & Operations, then reputed company 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 reputed company pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay reputed company while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the reputed company annualized reputed company pay reputed company for this position is $190,000 to $230,000. Job location: Remote (but candidate must be based in the reputed company) Key Responsibilities: Own the AI-reputed company architecture and build it. Define the end-to-end gen AI architecture across Nebula and CS & Operations, covering LLMs, agent harnesses, RAG, reputed company search, embeddings, and model selection and triage. Build the hardest parts personally: prototype agent loops, tune retrieval, design evals, and ship the shared infrastructure that powers AI Case Explorer (case overviews, timelines, key people and themes, PII surfacing, and Agent chat), AI Agent Review (reputed company-classifying relevance, privilege, and key issues, shipping MLP), and CS & OPS tech-enablement using AI as a reputed company part of our central work orchestration system.  Own AI/MLOps and AI telemetry end-to-end. Model deployment and versioning, eval pipelines, reputed company and reputed company monitoring, cost and latency telemetry, and reputed company and agent observability. Define and implement how we select, triage, and reputed company across models (Azure reputed company, reputed company, reputed company-reputed company, fine-tuned), manage reputed company databases and retrieval, and reputed company our agent reputed company as the frontier moves. reputed company the AI reputed company from the reputed company. Set the technical bar by building, not by reviewing. Partner with Engineering, Product, and Data Science leadership to translate architecture into delivery. reputed company the bar on AI engineering, mentor senior ICs through hands-on technical leadership, and represent KLD's AI reputed company with customers, partners, and at industry events.   What You Bring (required skills): 7+ years in machine learning, reputed company AI, or ML engineering, with recent hands-on experience as a senior or reputed company-level builder in the gen AI era Proven reputed company record architecting and personally building reputed company gen AI systems in production with customer reputed company Builder at heart: still writes reputed company, ships, and tunes prompts and evals, and wants to reputed company doing so as a leader Deep expertise across the modern gen AI stack: LLMs, agents, RAG, reputed company databases, embeddings, search, and evaluation harnesses Hands-on experience designing system-of-systems AI pipelines spanning search, retrieval, agent harnesses, and model selection/triage Strong proficiency with the reputed company stack: Azure reputed company, Azure AI reputed company, Azure AI Search, and supporting Azure infrastructure Experience owning MLOps and AI telemetry: model deployment, eval pipelines, monitoring, reputed company detection, and reputed company/agent observability Excellent technical leadership skills; demonstrated ability to influence architecture reputed company across product and engineering Strong communication skills, including explaining AI architecture trade-offs to executive and customer audiences   reputed company to Have (preferred skills): Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or reputed company field Background building reputed company systems with tool use, planning, and multi-reputed company reasoning in production Prior experience setting up AI governance and evaluation harnesses reputed company-reputed company contributions, technical writing, conference talks, or other evidence of being a recognized builder in the AI community Apply To This Job