招聘
Benefits & Perks
•Annual team offsites
•Parental leave program
•Wellness benefits
•Remote work flexibility
•Learning and development stipend
•Flexible PTO policy
Required Skills
Airflow
Python
SQL
About Us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees
Industry: Technology, Information Technology, Software, Consumer Goods & Services
Are you a builder and problem-solver who thrives in cross-functional environments? Do you possess a deep knowledge of the legal industry and a passion for innovation? As a part of our legal operations AIML team, you'll help drive AI solutions across the legal domain. Working for a company that invents entire categories and industries means you'll be challenged to creatively apply your expertise to rare and often unexplored aspects of the legal industry.
We are seeking an AI Architect 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 an AI Architect, 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.
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Collaborate cross-functionally with attorneys, legal operations, compliance and engineering teams to identify and prioritize AI use cases.
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Act as a product developer and owner from concept to rollout-defining requirements, developing proofs of concept, collecting feedback and iterating solutions.
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Integrate large language models (LLMs) and other AI technologies into existing systems (e.g., document management, e Discovery, CLM, or knowledge bases).
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- 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.
Preferred Qualifications:
Familiarity with DMS, document intelligence and CLM systems (e.g., Ironclad, Icertis, Docu Sign CLM), document management platforms (e.g., i Manage, Net Documents) 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.
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Client-provided location(s): Reedley, CA
Job ID: apple-200626558-3401_rxr-660
Employment Type: OTHER
Posted: 2026-01-07T19:12:55
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Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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