Job Description
The Innovations and AI Solutions Engineer position is part of our client'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. Duties include the below:
-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 user's 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
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
-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.
Expertise in applying the following technologies:
-SQL Server, T-SQL, SSIS & SSRS, Stored Procedures
-Data Warehousing experience - ETL & ELT
-Power BI, Data Analysis Expressions (DAX), Excel / PowerQuery
-Programming and scripting languages: Python, R, C++, Julia, JavaScript, SQL
-API integration and development tools and scripting
-Extensive experience working with a variety of data file formats, such as JSON, XML, SQL
-Additional skills that would be highly advantageous include:
-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
-Extensive experience and working knowledge with SQL and relational databases, including query authoring, database management, and creating/maintaining large data stores in SQL and cloud platforms such as Azure or AWS.
-Experience building and optimizing APIs and data pipelines, architectures and data sets.
-Experience with AI/ML data preparation including feature engineering, data preprocessing, and dataset versioning for machine learning workflows.
-Knowledge of data bias detection and mitigation techniques to ensure AI models are fair and representative across different legal @contexts.
-Experience with vector databases and embeddings for semantic search and retrieval-augmented generation (RAG) applications. -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.
