Forward Deployed Engineer (FDE)

As a Forward Deployed Engineer within LDM Global's Transformation team, you will be a founding technical leader driving the development and deployment of AI-enabled solutions and automations across the business. Your focus will be on enhancing LDM Global's core platforms for eDiscovery, digital forensics, and legal document review, while also working directly with key clients to design and implement custom, technical workflows. You will sit at the intersection of LDM's engineering, product, and operational teams, applying deep technical expertise to solve complex, real-world problems. This is a highly entrepreneurial role with significant autonomy, where you will directly influence LDM Global's internal methodologies and client outcomes as we accelerate our cloud and AI strategy.

Key

Responsibilities Drive Internal Platform Automation Identify performance bottlenecks and manual workflows within LDM Global's eDiscovery and digital forensics platforms. Architect, develop, and deploy core engineering solutions to increase automation, performance, and security. Lead Client-Facing Technical Engagements Own technical discovery, solution design, architecture, and delivery for key client projects. This includes running pre-sales scoping sessions to understand client workflows, data sources, and success metrics. Translate Business Needs into Technical Solutions Translate ambiguous legal and business problems into clear technical plans, prototypes, and implementation roadmaps, ensuring alignment with LDM Global's security and operational standards. Architect and Build AI-Enabled Workflows Design system architectures, data flows, integration layers, and application functionality across cloud, LLM, and analytics stacks to support automation and client solutions. Technical Implementation and Guidance Guide the implementation of solutions by engineering teams and contribute code when needed to unblock or accelerate development. Conduct technical workshops with client and internal teams to align on the design, data availability, and deployment requirements. Data Analysis & Prototyping Analyze diverse data sources (APIs, SQL, CSV, logs, financial data, etc.) to uncover opportunities for automation and optimization. Build rapid prototypes and proofs-of-concept to illustrate solution value and accelerate adoption. Communicate Technical Strategy Communicate the technical solution in business terms - focusing on ROI, operational impact, and future scaling opportunities - to both technical and non-technical internal and client stakeholders. Lead Document Automation Workflow - Breach Response Review Own and oversee the end-to-end automated document processing pipeline for breach response review engagements. This includes ingestion, classification, and routing of structured and unstructured documents containing PII and PHI. Manage automated workflows across diverse file types - Excel, PDF, Word, and others - handling both structured (tables, forms) and unstructured (free-text, scanned) documents Ensure accurate identification, flagging, and handling of PII/PHI data in compliance with applicable regulations (HIPAA, GDPR, CCPA) Define and enforce quality control standards across automated and manual review touchpoints within breach response pipelines Collaborate with legal, compliance, and technical teams to ensure automation outputs align with review requirements and client SLAs Monitor pipeline performance, identify bottlenecks, and continuously improve throughput and accuracy Document workflows, escalation paths, and decision logic for team-wide use and auditability Qualifications and Experience Mindset Growth mindset and a passion for continuous learning. First-principles thinking and comfort navigating ambiguity. Fast clock speed. You can reason through problems, make decisions and execute quickly. Ability to simplify complex systems into clean, explainable frameworks and communicate them clearly to clients and internal stakeholders, some of whom will not have high technical proficiency.

Technical Skills Strong proficiency in Python and common data science/engineering packages (Pandas, NumPy, SQLAlchemy, FastAPI/Flask, etc.) Experience with cloud platforms (Microsoft Azure preferred; AWS/Google Cloud also relevant) Familiarity with modern AI tooling (LLM APIs, vector stores, RAG, embeddings, prompt engineering) Experience integrating disparate data sources via SQL, APIs, CSV ingestion pipelines, or third-party integrations Hands-on experience with OCR, NLP-based document classifiers, or document review automation platforms Working knowledge of PII/PHI identification techniques and data classification frameworks (HIPAA, GDPR, CCPA) Experience 1-5 years in a technical role such as Solutions Architect, Forward-Deployed Engineer, Data/AI Consultant, Full-Stack Engineer, Product Manager, or similar Proven track record of leading technical projects and working directly with customers or internal stakeholders Experience mentoring junior developers or leading small project teams Prior hands-on experience leading document automation workflows in a breach response, eDiscovery, or data privacy context

What

We Offer Opportunity to be a founding member of a new engineering capability and influence architectural decisions from day one. Competitive compensation aligned with the local market and experience. Work with global teams across the US, UK, and India. Professional development opportunities as LDM expands its automation and cloud platform strategy. A mission-driven culture that values innovation, security, and operational excellence.