AI Data Scientist

Onsite in Cupertino, CA from Day 1 (Client prefer local folks)

Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri)

Long term contract

Direct client opportunity

No Mid layer / No Implementation partners are Involved

Key points

• Need someone focused on product management and integration of generative AI solutions

• Excellent communication, organizational, and problem-solving skills

• We are seeking an AI Engineer to join our Legal Operations team and lead the design, development and deployment of AI-powered tools and automation solutions that transform how our Legal Department operates.
• This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions.
• You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life.
• The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology

Description

• As a Senior Data Scientist/ AI Engineer, you will be responsible for overseeing the design and execution of key tool development programs.
• This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions.
• You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life.
• The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology.

Key responsibilities may include:

• Develop and deploy AI solutions that enhance legal workflows, including contract review, document classification, knowledge management and workflow automation.
• Collaborate cross-functionally with attorneys, legal operations, compliance and engineering teams to identify and prioritize AI use cases.
• Act as a product developer and owner from concept to rollout-defining requirements, developing proofs of concept, collecting feedback and iterating solutions.
• Integrate large language models (LLMs) and other AI technologies into existing systems (e.g., document management, eDiscovery, CLM, or knowledge bases).
• Evaluate and integrate third-party legal AI tools and platforms as needed, ensuring compatibility and compliance with internal systems.
• Maintain strong documentation and governance around data usage, model performance and ethical AI standards.
• Stay current on emerging trends in AI, machine learning and legal tech to help shape the department’s AI strategy.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
• 5 years of experience building and deploying AI/ML or automation solutions in production environments.
• Strong programming skills in Python (proven ability to quickly master new frameworks and tools).
• Demonstrated experience with modern AI architectures including context engineering, tool use and retrieval augmented generation.
• Proven ability to communicate complex technical concepts to non-technical stakeholders.
• Strong product development mindset-able to translate business needs into practical, scalable AI tools.
• Prior experience in or exposure to legal tech or legal operations.

Preferred Qualifications

• Familiarity with DMS, document intelligence and CLM systems (e.g., Ironclad, Icertis, DocuSign CLM), document management platforms (e.g., iManage, NetDocuments) or legal AI tools (e.g., Harvey, Luminance, Casetext, Spellbook, etc.).
• Experience building internal AI assistants or chatbots for enterprise knowledge retrieval.
• Understanding of data privacy, compliance and governance frameworks relevant to legal data.

Pay Range: $65/hr – $70/hr

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

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