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AI Technologist Engineer

Job in Roseland, Essex County, New Jersey, 07068, USA
Listing for: Lowenstein Sandler
Full Time position
Listed on 2026-05-08
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 155000 - 165000 USD Yearly USD 155000.00 165000.00 YEAR
Job Description & How to Apply Below

Lowenstein Sandler is one of the most sophisticated law firms in the United States, with over 400 lawyers and 300 business services professionals serving clients from offices in New York, Palo Alto, New Jersey, Utah and Washington, DC. Our primary administrative offices are located in Roseland, New Jersey, where we are consistently ranked among the best places to work. We recruit candidates who seek a collaborative, entrepreneurial culture that prioritizes our clients, our colleagues, and the communities where we work and live.

Committed to career development and an inclusive workplace, the firm offers many programs and opportunities for personal and professional growth. We seek professionals for our business services group who share these values.

What You Will Do:

The AI Technologist / Engineer will design, build, and operationalize AI‑powered solutions that improve the efficiency, accuracy, and intelligence of legal and business workflows across the firm. Working closely with attorneys, business professionals, and technology colleagues, this individual will identify opportunities, deliver measurable outcomes, and serve as the firm’s subject‑matter expert on the latest AI platforms and developer tooling. This is a hands‑on engineering role for someone who is equally comfortable prototyping a new AI workflow, evaluating emerging platforms, and translating complex capabilities into practical firm value.

Essential

Job Requirements:
  • Serve as the firm’s internal expert on generative AI platforms including Anthropic Claude, OpenAI ChatGPT, Google Gemini and Notebook

    LM, and Microsoft Copilot and various legal point solutions, evaluating new capabilities and advising on appropriate use cases.
  • Use Claude Code for AI‑assisted software development, leveraging agentic coding workflows to accelerate delivery across the team.
  • Design and implement secure agentic AI frameworks, including orchestration of multi‑step autonomous workflows, tool integration, and guardrails to ensure safe, auditable, and policy‑compliant AI operations.
  • Design, develop, and deploy AI‑assisted tools and workflows using leading AI platforms and APIs.
  • Build and maintain integrations with the firm’s core systems (e.g., document management, practice management, intake/conflicts, and data platforms) leveraging AI capabilities.
  • Develop and maintain context engineering and prompt engineering standards, including system prompt design, context window management, and retrieval augmentation strategies, alongside evaluation frameworks and responsible AI governance practices appropriate for the legal industry.
  • Apply security‑by‑design principles to AI implementations, including data classification, access controls, encryption standards, and model input/output validation to prevent data leakage, prompt injection, and unauthorized access to sensitive information.
  • Evaluate vendor AI solutions and produce clear build‑vs‑buy recommendations for leadership.
  • Document architectures, integration patterns, and user guides to ensure firm‑wide knowledge transfer and supportability.
  • Stay current with the AI landscape, bringing forward actionable insights on how emerging capabilities can benefit the firm.
Skills, Knowledge and Abilities:
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field.
  • 3+ years of software engineering or AI/ML engineering experience.
  • Strong programming skills in Python, JavaScript/Type Script, React and Node.js.
  • Experience with REST APIs, JSON, and modern integration patterns.
  • Experience with C# and the .NET framework.
  • Proficiency in T‑SQL, including writing and optimizing queries, stored procedures, and views against relational databases (SQL Server preferred).
  • Proficiency with Visual Studio Code (VS Code) as a primary development environment.
  • Demonstrated experience with context engineering principles, including context window structuring, dynamic context assembly, and grounding strategies to maximize LLM accuracy and reliability.
  • Demonstrated experience using AI coding tools (e.g., Claude Code, Git Hub Copilot, Codex, or Cursor/Windsurf) to modify, extend, or upgrade existing applications.
  • Hands‑on…
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