Enterprise AI & Data Infrastructure Engineer - Axinn

Polluxa, Inc.; Washington; On-site; USD 140,000 - 210,000; Full time

Job summary

Axinn seeks 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.

You will partner with information security and business units to implement data pipelines, governance, and scalable infrastructure, delivering reliable AI

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 technical designs.
• 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.

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.

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.