Innovations and AI Solutions Engineer
Company: Wilson Sonsini Goodrich & Rosati, Professional
Location: Palo Alto
Posted on: April 2, 2026
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Job Description:
Wilson Sonsini is the premier legal advisor to technology, life
sciences, and other growth enterprises worldwide. We represent
companies at every stage of development, from entrepreneurial
start-ups to multibillion-dollar global corporations, as well as
the venture firms, private equity firms, and investment banks that
finance and advise them. The firm has approximately 1,100 attorneys
in 17 offices: 13 in the U.S., two in China, and two in Europe. Our
broad spectrum of practices and entrepreneurial spirit allow
exceptional opportunities for professional achievement and career
growth. 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. This position is available as a hybrid or
remote work schedule. Essential Duties, Responsibilities 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. Experience, Knowledge and Abilities
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 API’s and
data pipelines, architectures and data sets. Strong analytic skills
related to working with structured and unstructured datasets.
Ability to learn new tools and coding languages where required.
Ability to organize tasks and priorities under minimal supervision.
Experience performing root cause analysis on internal and external
data, data integrations and processes to solve specific business
problems and identify opportunities for improvement. Experience
developing processes that support data transformation,
integrations, data structures, metadata, dependency and workflow
management. A successful history of manipulating, processing and
extracting value from large, disconnected datasets. Experience
collaborating with cross-functional teams and stakeholders in a
dynamic environment. Ability to handle sensitive and confidential
information responsibly. 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. Technological
Proficiency Expertise in applying the following technologies: SQL
Server, T-SQL, SSIS & SSRS, Stored Procedures DataWarehousing
experience - ETL & ELT PowerBI, 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 Law firm experience a plus.
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 Preferred 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. The primary location for
this job posting is in Palo Alto, but other locations may be
listed. The actual base pay offered will depend upon a variety of
factors, including but not limited to the selected candidate’s
qualifications, years of relevant experience, level of education,
professional certifications and licenses, and work location. The
anticipated pay range for this position is as follows: Palo Alto,
New York, San Francisco: $116,875 - $158,125 per
year.&xa;Austin, Boston, Boulder, Century City, Delaware, Los
Angeles, Salt Lake City, San Diego, Seattle, Washington, D.C.:
$105,400 - $142,600 per year. The compensation for this position
may include a discretionary year-end merit bonus based on
performance. We offer a highly competitive salary and benefits
package. Benefits information can be found here . Equal Opportunity
Employer (EOE).
Keywords: Wilson Sonsini Goodrich & Rosati, Professional, Rohnert Park , Innovations and AI Solutions Engineer, IT / Software / Systems , Palo Alto, California