AI Architect

DLS Discovery, LLC

AI Architect leading AI architecture and development for KLDiscovery's eDiscovery platform. Working with legal data to build innovative AI solutions and mentor senior team members.

Posted 7/14/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $190,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in architecting and building enterprise generative AI systems, with a strong focus on MLOps and AI telemetry. Proven ability to lead technical teams while maintaining hands-on involvement in coding and system design.

Highest-signal resume keywords

Machine LearningGenerative AI SystemsMLOpsMicrosoft AI StackTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureAI TelemetryModel DeploymentPrompt EngineeringSystem DesignEvaluation PipelinesVector DatabasesSearch TechnologiesAgent HarnessesModel Selection

Soft Skills

CommunicationInfluencing Architecture Decisions

Tools & Technologies

Azure OpenAIAzure AI FoundryAzure AI SearchAzure Infrastructure

Industry Keywords

Applied AIAI PipelinesCustomer ImpactDrift DetectionEmbeddings

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Own the AI-native architecture and build it.
Own AI/MLOps and AI telemetry end-to-end.
Lead the AI practice from the front.

Requirements

What you’ll need

7+ years in machine learning, applied AI, or ML engineering, with recent hands-on experience as a senior or principal-level builder in the gen AI era
Proven track record architecting and personally building enterprise gen AI systems in production with customer impact
Builder at heart: still writes code, ships, and tunes prompts and evals, and wants to keep doing so as a leader
Deep expertise across the modern gen AI stack: LLMs, agents, RAG, vector 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 Microsoft AI stack: Azure OpenAI, Azure AI Foundry, Azure AI Search, and supporting Azure infrastructure
Experience owning MLOps and AI telemetry: model deployment, eval pipelines, monitoring, drift detection, and prompt/agent observability
Excellent technical leadership skills; demonstrated ability to influence architecture decisions across product and engineering
Strong communication skills, including explaining AI architecture trade-offs to executive and customer audiences.

Benefits

Comp & perks

competitive total compensation including base pay and bonus potential
inclusive benefits
wellness programs