AI Data & Integration Engineer
Freshfields Bruckhaus Deringer22 hours ago
Base Salary
$70k - $170k/yr
Responsibilities
- Own the architecture and technical design of data pipelines connecting document management, knowledge, client, matter, and business systems to AI platforms.
- Design, implement, and operate secure RESTful and event-driven API integrations with authentication, authorization, versioning, observability, rate limiting, and resilient data exchange.
- Establish reusable patterns for ingestion, transformation, indexing, access, synchronization, data modeling, and governed data products.
- Preserve source permissions, information barriers, client restrictions, retention decisions, updates, and deletions throughout downstream processing and retrieval.
- Partner with AI evaluation engineers to turn data, retrieval, and integration failure modes into measurable tests, regression suites, and production controls.
- Diagnose complex production issues across source systems, APIs, data pipelines, indexes, and consuming AI applications.
- Lead technical delivery across internal teams and external partners, review architecture and code, mentor engineers, and manage technical dependencies.
- Translate business, legal, security, and governance requirements into practical technical delivery plans.
Requirements
- At least five years of experience in data engineering, integration engineering, or a closely related discipline.
- Strong experience leading teams that design, deliver, and operate production application or data platforms and integrations.
- Deep practical experience with RESTful and event-driven APIs, including authentication, authorization, API gateways, schemas, contracts, versioning, retries, rate limits, error handling, observability, and secure enterprise integrations.
- Strong understanding of large language models, data quality, context, retrieval, permissions, 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 and implement granular access controls and information barriers.
- Experience using coding agents responsibly for design, development, testing, and troubleshooting, with human review and attention to security and validation.
- Experience developing reusable libraries, services, and integration components in languages such as Python, Java, or C#.
- Experience with software development, automated testing, and CI/CD tools such as Git, Jira, and Jenkins.
- 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.
- 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.
About Freshfields Bruckhaus Deringer
Freshfields Bruckhaus Deringer is a global law firm advising corporations, financial institutions, and governments on complex transactions, disputes, and regulatory matters across jurisdictions. Structured as a partnership headquartered in London and founded in 1743, it operates offices across Europe, Asia, the Middle East, and the United States. Its fee-based practice spans M&A, antitrust, arbitration and litigation, finance and capital markets, and compliance and investigations.