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Wilson, Sonsini, Goodrich & Rosati Logo Wilson, Sonsini, Goodrich & Rosati · IT - Software Development

Innovations and AI Solutions Engineer

United States, Palo Alto 105400.00 - 158125.00 USD / Year · Job Posted February 20, 2026
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Job Description

The Innovation and AI Solutions Engineer position is part of the firm’s Innovation Department. This position will be responsible for developing, optimizing and growing the firm’s corpus of innovation and AI solutions for both practice and enterprise side use cases, as well as optimizing data collection and flows across these solutions. The role will support our attorneys and staff with software development, low/no-code solutions, and data initiatives. The Innovation and AI Solutions Engineer is a self-directed, people-oriented employee who is comfortable supporting the development and data needs of the organization, including clients, attorneys, practice groups and administrative teams.

Job Responsibility

  • Support innovation projects by facilitating and participating in discussions, meetings with management and department groups, developing business processes, implementing data integrations and recommending best practices on the effective use of data and data analytics tools
  • Build and maintain innovation and AI solutions alongside optimal data API and pipeline architectures
  • Design, build and implement machine learning models, including the development of AI Models and prompts for various applications
  • Collaborate with business users and technical teams to support and improve how data is collected, analyzed and reported throughout the organization
  • Analyze users needs to determine business and data requirements, effectively applying technology to meet the firm’s strategic objectives
  • Assemble and manage large, complex data sets that meet business and technical requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and improving infrastructure within assigned projects and data systems
  • Build system infrastructure and processes for the efficient extraction, transformation, loading and integration of data to and from a wide variety of data sources using SQL, Power BI and Azure technologies
  • Develop and/or apply analytics tools that utilize data pipelines to provide actionable insights into customer acquisition, operational efficiency, billing analytics, case outcomes, and other key business and legal practice performance metrics
  • Ensure firm and client data security across multiple office locations, data centers, vendors and applications
  • Develop data visualization and reporting tools to effectively convey meaningful insights from complex and diverse data sets
  • Leverage statistics and computational techniques in problem solving
  • Be familiar with common NLP and machine learning techniques
  • Research and use applicable models in creative problem solving
  • Work with GitHub and software version control
  • Demonstrate the ability to efficiently and smartly document code and end-to-end processes
  • Implement models in a production environment via custom API’s and enterprise solutions. such as Azure

Requirements

  • 4+ years of experience in a Data Engineer/DataOps-DevOps role
  • Bachelor's degree and/or graduate degree in Computer Science, Data Science, Data Analytics, Information Systems or equivalent discipline
  • Experience with Microsoft SQL Server and related Microsoft data management and integration technologies
  • Excellent verbal and written communication and interpersonal skills

Nice to have

  • AI/ML Data Preparation Certification or equivalent coursework in machine learning data engineering
  • Experience with legal technology platforms and understanding of legal workflow requirements
  • Knowledge of data privacy regulations (GDPR, CCPA, HIPAA) as they apply to AI systems in legal contexts
  • Law firm experience a plus
  • PowerShell
  • Regular Expression (Regex)
  • VBA, MS Access & Excel
  • Documentation & Process Mapping
  • Dynamic visualization tools, such as Microsoft Power BI, Tableau, Domo, etc.
  • Experience developing and applying machine learning models using Python, R, SQL and Azure Machine Learning
  • Experience integrating legal industry, line-of-business applications, such as SharePoint, Aderant Financial System, Salesforce.com/CRM, NetDocs/DMS
  • Large Language Model Integration: Experience with OpenAI API, Azure OpenAI, Anthropic Claude, or similar
  • Embedding Models: Familiarity with sentence transformers, OpenAI embeddings, or domain-specific legal embeddings

What we offer

  • Highly competitive salary and benefits package
  • Discretionary year-end merit bonus based on performance
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