eDiscovery Architect - AI / ML & Cloud

Overview

Senior Solutions Architect / Engineer - Java / Python, AI / ML & Cloud

12 Months Contract

ONSITE ROLE >

4 DAYS / WEEK IN BURBANK CA

Description

We are seeking a senior solutions architect with strong solution engineering background to lead architecture, prototyping, and delivery across four high-impact initiatives : Immigration & Minors Case Management, Global Ethics & Compliance Management (GECM), AI-enabled eDiscovery Strategy, and eDiscovery Transformation. You will partner with Legal, HR, Global Ethics & Compliance, Privacy, and Enterprise Technology to design secure, scalable, AI-enabled solutions that reduce risk, increase throughput, and lower external spendwhile leveraging existing enterprise platforms whenever possible.

Responsibilities

• Own the end-to-end solution architecture and technical roadmap across four programs, aligning to enterprise standards, data protection requirements, and shared technology services.
• Pair architecture with hands-on engineering : build PoCs, reference implementations, integration adapters, IaC modules, and CI / CD pipelines to de-risk delivery and accelerate time-to-value.
• Drive build-vs-buy decisions, RFPs, vendor evaluations, and TCO modeling; maximize reuse of existing enterprise platforms and AI capabilities.
• Define non-functional requirements, SLAs / SLOs, and performance / scalability targets; design for resilience, observability, and cost efficiency.
• Embed privacy-by-design and security-by-design : DPIAs, threat modeling, data minimization, encryption / tokenization, DLP, retention / Legal Hold, and auditability.
• Establish data architecture for PII, PCI, and sensitive matter data : classification, lineage, retention, and defensible disposal compliant with GDPR, PIPL, CCPA / CPRA, ISPS, and RIM.
• Lead change management alongside product and legal ops : target operating model, roles / skills, process redesign, training, and adoption metrics.
• Create and maintain solution blueprints, sequence diagrams, integration contracts, data models, and runbooks; mentor teams on best practices.

Basic Qualifications

Preferred Qualifications

Education

BS STEM

The estimated pay range for this position is USD $85.00 / hr - USD $95.00 / hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

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