AI Architect

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November 15

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Magna Legal Services

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B2B • Enterprise

Magna Legal Services is a nationwide litigation support firm that provides end-to-end services for law firms, insurance companies, corporations and government agencies. The company offers court reporting and virtual depositions, record retrieval, service of process, investigative services, legal interpreting and translation, video and trial presentation/graphics, jury research and consulting, and related courtroom support. Magna also produces legal conferences and CLE programming and provides 24-hour scheduling and nationwide coverage to support clients through discovery, trial preparation and courtroom presentation.

501 - 1000 employees

Founded 2007

🤝 B2B

🏢 Enterprise

📋 Description

• Define and own Magna’s AI systems architecture, including model selection, data infrastructure, orchestration, and deployment pipelines • Lead the design of scalable, secure, compliant AI solutions across the organization • Establish development standards, MLOps best practices, and governance frameworks for responsible AI • Architect, prototype, and deliver AI/ML applications — including summarization tools, document processing systems, scheduling automation, and proprietary medical/legal analysis products • Oversee model fine-tuning, prompt engineering, data pipelines, evaluation frameworks, and performance monitoring • Review and guide technical work across the AI engineering team • Collaborate with executives, sales leaders, operations, and product teams to identify high-value AI opportunities • Translate business challenges into technical solutions with clear ROI and measurable outcomes • Communicate complex AI concepts in clear, accessible terms to non-technical stakeholders • Drive cross-departmental adoption of AI systems through training, change management, and solution evangelism • Manage, mentor, and grow an AI engineering team, providing career development, technical guidance, and performance oversight • Promote a culture of experimentation, accountability, and continuous learning • Collaborate with engineering, product, and data teams to ensure coordinated delivery • Lead end-to-end lifecycle of AI products, from ideation and scoping through deployment and iteration • Ensure solutions meet enterprise standards for security, data integrity, and privacy (HIPAA, PHI, PII, etc., as applicable) • Measure business impact, track adoption, and ensure systems perform reliably at production scale

🎯 Requirements

• 8+ years of professional experience in AI/ML engineering, data science, or software architecture roles • Proven track record designing, deploying, and maintaining AI products in real-world production environments • Strong hands-on experience with modern AI stacks (LLMs, vector databases, embedding systems, orchestration frameworks, MLOps) • Deep knowledge of cloud platforms (AWS, Azure, or GCP) and containerized environments • Experience leading engineering teams or technical programs • Ability to work closely with executives to shape strategy and communicate technical concepts clearly • Strong understanding of data governance, compliance, and security in regulated or sensitive data environments

🏖️ Benefits

• Competitive compensation • Benefits • Growth opportunities