AI Data & Integration Engineer

Posted 9 Days Ago
New York, NY, USA
In-Office
70K-170K Annually
Senior level
Legal Tech
The Role
Lead the architecture and delivery of secure data pipelines, APIs, integrations, and governed data services supporting AI assistants, enterprise search, and agent workflows. Ensure permissions, information barriers, data quality, traceability, and resilient synchronization across enterprise systems. Lead technical delivery, troubleshoot production issues, evaluate retrieval and integration performance, review designs and code, mentor engineers, and translate legal, business, security, and governance requirements into scalable solutions.
Summary Generated by Built In

Role purpose
Lead the design and delivery of secure, reliable and scalable data foundations and integrations for AI applications across a global law firm. Enable AI assistants, enterprise search and agent workflows to use legal and business information with appropriate context, permissions, quality and traceability.
Key responsibilities

  • Own the architecture and technical design of data pipelines connecting document management, knowledge, client, matter and business systems to AI platforms. Establish reusable patterns for ingestion, transformation, indexing, access and synchronization.
  • Lead the design, implementation and operation of secure API integrations between enterprise systems, cloud services, AI platforms and agent tools. Define standards for authentication, authorization, versioning, error handling, observability, rate limiting and resilient data exchange.
  • Ensure source permissions, information barriers and client restrictions remain effective throughout processing, integration and retrieval. Design mechanisms to propagate document updates, permission changes, retention decisions and deletions to downstream stores, indexes and consuming applications.
  • Develop consistent data models linking clients, matters, people and documents. Provide governed data products, APIs and tool interfaces that enable AI applications and agents to retrieve and act on information safely.
  • Partner with AI evaluation engineers to turn data, retrieval and integration failure modes into measurable tests, regression suites and production controls, and use evaluation results to improve data and API design.
  • Diagnose complex production issues across source systems, APIs, data pipelines, indexes and consuming AI applications, balancing quality, security, performance, cost and maintainability.
  • Lead technical delivery across internal teams and external partners. Review architecture and code, mentor engineers, manage technical dependencies and translate business, legal and governance requirements into practical delivery plans.

Required skills and experience

  • Strong experience managing/leading teams designing, delivering and operating production application/data platforms and integrations.
  • Deep practical experience designing and integrating RESTful and event-driven APIs, including authentication and authorization, API gateways, schema and contract management, versioning, retries, rate limits, error handling, observability and secure integration with enterprise and third-party systems.
  • Strong conceptual understanding of large language models, including their capabilities, limitations and common failure modes, and how data quality, context, retrieval, permissions and integration design affect AI application performance and evaluation outcomes.
  • Knowledge of unstructured document processing and retrieval-augmented generation, including search indexes, embeddings, hybrid retrieval, reranking and retrieval evaluation.
  • Demonstrated ability to design secure data services, implement granular access controls and information barriers.
  • Proficiency in using coding agents to accelerate design, development, testing and troubleshooting, with sound judgement about human review and best practices for prompting, context management, validation, security and responsible use of generated code.
  • Experience developing software in programming languages such as Python, Java or C#, and applying sound software engineering practices to reusable libraries, services and integration components.
  • Experience with SDLC methodologies and associated development, automated testing and CI/CD tools such as Git, Jira and Jenkins.
  • Demonstrated ability to learn continuously in a rapidly evolving AI, data and integration landscape, critically assess new tools and techniques, and apply relevant advances pragmatically to improve the firm’s products, engineering practices and risk controls.
  • Experience making architectural decisions, leading complex technical delivery, reviewing designs and code, and developing other engineers. Ability to explain technical choices clearly to business, legal, security and governance stakeholders.
  • Minimum five or more years in data engineering, integration engineering or a closely related discipline.
  • Legal or professional services experience is desirable, including familiarity with iManage or comparable document management systems, entity resolution, legal taxonomies, knowledge graphs and governed agent integrations such as MCP.

For individuals assigned and/or hired to work in New York and California, Freshfields is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the States of New York and California and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $70,000 to $170,000.


EEO Statement
Freshfields US LLP is proud to be an equal employment employer. Our policies and practices will be free from unlawful discrimination based upon race, color, ethnicity, religion, creed, sex (including pregnancy, childbirth or related medical conditions), national origin, citizenship, immigration status, ancestry, age, marital status, protected veteran status, military service, disability, medical condition, genetic information, sexual orientation, gender identity, or any basis prohibited under federal, state or local law. We strive to promote an atmosphere that encourages equal opportunities and prohibits discriminatory practices, including sexual harassment.
Disability Accommodation for Applicants to Freshfields US LLP
Freshfields US LLP is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the alternative email address below to contact us about your interest in employment at [email protected] , or you can send your resume to [email protected] , or you can call us at +1-212-277-4000.

Skills Required

  • Experience managing or leading teams that design, deliver, and operate production application, data, and integration platforms
  • Deep experience designing and integrating RESTful and event-driven APIs, including authentication, authorization, gateways, schemas, versioning, retries, rate limits, error handling, observability, and secure enterprise integrations
  • Strong understanding of large language models, their limitations and failure modes, and the impact of data quality, context, retrieval, permissions, and integration design on AI performance
  • Knowledge of unstructured document processing and retrieval-augmented generation, including search indexes, embeddings, hybrid retrieval, reranking, and retrieval evaluation
  • Ability to design secure data services and implement granular access controls and information barriers
  • Proficiency using coding agents with appropriate human review, prompting, context management, validation, security, and responsible-use practices
  • Experience developing software in Python, Java, C#, or similar programming languages
  • Experience applying software engineering practices to reusable libraries, services, and integration components
  • Experience with SDLC methodologies and development, automated testing, and CI/CD tools such as Git, Jira, and Jenkins
  • Ability to make architectural decisions, lead complex technical delivery, review designs and code, mentor engineers, and communicate technical choices to business, legal, security, and governance stakeholders
  • At least five years of experience in data engineering, integration engineering, or a closely related discipline
  • Legal or professional services experience, including familiarity with iManage or comparable document management systems, entity resolution, legal taxonomies, knowledge graphs, and governed agent integrations such as MCP
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
6,984 Employees
Year Founded: 1743

What We Do

Freshfields Bruckhaus Deringer is a global law firm with a long-standing track record of successfully supporting the world's leading national and multinational corporations, financial institutions and governments on ground-breaking and business-critical mandates. Our 2,800-plus lawyers deliver results worldwide through our own offices and alongside leading national firms. Our commitment and business know-how mean our clients rely on us when it matters most. Freshfields Bruckhaus Deringer has offices in Austria, Bahrain, Belgium, China, England, France, Germany, Hong Kong, Ireland, Italy, Japan, the Netherlands, Singapore, Spain, the United Arab Emirates, the United States of America and Vietnam.

Similar Jobs

Bank of America Logo Bank of America

Senior Data Engineer

Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
In-Office
3 Locations
208000 Employees
141K-205K Annually

Citadel Logo Citadel

Global Quantitative Strategies (GQS) | Quantitative Research Engineer

Information Technology • Software • Financial Services • Big Data Analytics
In-Office or Remote
3 Locations
4000 Employees
275K-350K Annually

Citadel Logo Citadel

Quantitative Research Engineer - PhD Intern (US)

Information Technology • Software • Financial Services • Big Data Analytics
In-Office
4 Locations
4000 Employees
5K-5K Hourly

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Sr. Sales Associate I

eCommerce • Fashion • Retail • Sales • Wearables • Design
Remote or Hybrid
14 Locations
16000 Employees
15-20 Hourly

Similar Companies Hiring

GC AI Thumbnail
Artificial Intelligence • Legal Tech
San Mateo, California
130 Employees
Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
1100 Employees
Cravath, Swaine & Moore LLP Thumbnail
Legal Tech • Other • Professional Services
New York, NY
1200 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account