Enterprise AI & Data Infrastructure Engineer

Job Description

Job Description

Incisive. Inclusive. Invested. We’re Axinn.

Experienced, tenacious, and always trial-ready, we are committed to understanding complex legal challenges that impact the future of our clients' businesses, globally.

Focusing on antitrust, intellectual property, and high-stakes litigation, our extensive teams in the U.S. possess deep knowledge and client-side experience across a range of sectors, including technology, healthcare, life sciences, and consumer products.

At Axinn, inclusivity is central to who we are. We have a purpose that goes beyond profit, which includes fostering a fair, welcoming workplace and supporting the communities where we live and work. We actively recognize talent and promote opportunities for all team members. By embracing the unique experiences and perspectives of our people, we fuel creativity and deliver results for our clients.

We are seeking an Enterprise AI & Data Infrastructure Engineer to design, integrate, and operationalize enterprise AI, data, and application capabilities. The role combines hands-on technical work with requirements gathering, vendor evaluation, project execution, and close collaboration with the Innovation team, lawyers and business teams.

Near-term priorities include working closely with Innovation Team on the deployment and integration of enterprise AI and knowledge platforms, Microsoft Copilot and related Microsoft AI capabilities, and development of an enterprise data foundation that can securely support AI, analytics, search, and automation.

Duties and Responsibilities

• Lead technical delivery of enterprise AI, data, integration, and automation initiatives from discovery through production.
• Gather requirements, analyze workflows, and translate business needs into practical technical designs and implementation plans.
• Design and implement integrations among enterprise applications, AI platforms, data sources, document and knowledge systems, and workflow tools using APIs, connectors, and automation platforms.
• Build or configure prototypes, workflows, agents, integrations, and lightweight applications when hands-on development is the most effective path.
• Support architecture for enterprise AI solutions, including authentication, data access, retrieval, orchestration, logging, monitoring, and operational support.
• Help design and implement an enterprise data lake, lakehouse, warehouse, or similar platform, including ingestion, transformation, permissions, metadata, and data quality controls.
• Partner with information security to address identity, access, data protection, DLP, confidentiality, change management, and production controls.
• Evaluate technology vendors, APIs, deployment models, security capabilities, data handling, extensibility, integration requirements, and total cost of ownership.
• Lead pilots and proofs of concept and make practical buy-versus-build recommendations.
• Manage implementation workstreams, vendors, dependencies, testing, deployment, stabilization, and technical documentation.
• Troubleshoot complex integration, configuration, access, and application issues and coordinate resolution across internal teams and vendors.
• Track adoption, system performance, support issues, and business outcomes to identify opportunities for improvement.

Education, Experience, and Skills Required:

Required Qualifications:

• Approximately five or more years of experience in enterprise technology, solutions engineering, cloud engineering, data engineering, AI engineering, application integration, or a related field. Equivalent combinations of experience and education will be considered.
• Hands-on experience implementing or integrating enterprise applications, cloud services, AI platforms, data platforms, or automation solutions.
• Working proficiency with APIs, authentication concepts, data exchange formats, system integrations, and troubleshooting distributed applications.
• Experience gathering requirements and translating business needs into technical solutions.
• Experience leading technical projects involving multiple stakeholders, vendors, dependencies, and production systems.
• Understanding of enterprise security and governance concepts, including identity and access management, data protection, confidentiality, and least-privilege access.
• Strong communication skills and the ability to explain technical recommendations to senior leadership and nontechnical stakeholders.
• Ability to learn new technologies quickly, work through ambiguity, and take ownership from problem definition through implementation. 

Preferred Qualifications:

• Experience with enterprise generative AI, AI agents, retrieval-augmented generation, enterprise search, or data-connected AI applications.
• Experience with Microsoft Azure, Microsoft 365, Microsoft Copilot, Copilot Studio, Microsoft Fabric, Power Platform, or related services.
• Experience with data lakes, lakehouses, warehouses, ETL/ELT pipelines, structured data integration, or data governance.
• Experience in a law firm, legal technology company, professional services organization, or another environment handling sensitive information and demanding professional users.
• Familiarity with document management, knowledge management, search, eDiscovery, matter systems, or other legal-industry platforms.
• Experience conducting technical diligence of third-party vendors and running pilots or proofs of concept.
• Experience with DevOps, CI/CD, infrastructure-as-code, observability, scripting, or automation is helpful but not required.

Benefits 

At Axinn, we offer market competitive wages and generous benefit options to our valued employees. This includes, but is not limited to, the following:

• Competitive starting pay, potential for annual increases, and annual discretionary bonus eligibility
• Generous paid time off benefits (vacation, personal days, floating holidays, paid holidays, and sick leave)
• Firm paid short and long-term disability, plus life and accident insurance
• 401(k) Profit Sharing Plan and Cash Balance Retirement Plan
• Comprehensive medical, dental, and vision insurance options
• Flexible spending and health savings accounts (medical plan dependent)
• Firm paid comprehensive Employee Assistance Program (EAP)
• Student loan refinancing discounts
• Lifestyle reimbursement program
• Hybrid remote work schedules are available for most employees (per current policy, in-office presence is required at least 3-days per week and fully remote roles are not available)

Position Details