Forward Deployed Engineer, Enterprise AI

Nth AI • San Francisco, CA

7d • Onsite

About The Position

Bring the next generation of enterprise AI software into production. Nth AI is building Nexus, an AI-native platform that creates the trusted enterprise context layer for AI inside Microsoft Azure and Fabric. We’re hiring Forward Deployed Engineers to work directly with enterprise customers and own the technical path from agreed requirements through production deployment, validation, and handoff. You’ll work alongside our FDE leadership and core engineering team to deploy Nexus, solve difficult integration problems, and turn what you learn into reusable software and deployment improvements.

Requirements

• Experience delivering production data, cloud, or AI systems for enterprise customers.
• Strong Python and SQL skills, sound data modeling fundamentals, and the ability to troubleshoot across application, data, and infrastructure boundaries.
• Hands-on Microsoft Azure experience, with practical experience in Fabric and/or Azure AI Foundry strongly preferred.
• The ability to write maintainable code and work effectively with APIs, version control, tests, and deployment tooling.
• Confidence working directly with customer engineers, IT teams, and business stakeholders.
• Strong ownership from discovery through production operation, including when requirements or documentation are incomplete.
• Availability for customer travel as needed.

Nice To Haves

• Legacy ERP integration experience, including SAP, Oracle E-Business Suite, JD Edwards, PeopleSoft, or Dynamics AX.
• Power BI semantic models, DAX, enterprise governance, and experience at a strong data and AI consultancy are also valuable.

Responsibilities

• Technical discovery: Understand customer systems, business requirements, data definitions, access constraints, and success criteria.
• Customer deployments: Configure and deploy Nexus in customer environments, connect source systems, and coordinate technical dependencies with customer IT and data teams.
• Hands-on engineering: Write and debug integrations, Python and SQL transformations, notebooks, APIs, and automation needed to make deployments work.
• Data and semantic validation: Verify pipelines, relationships, business metrics, and generated assets against source data and customer expectations.
• Production readiness: Own technical testing, issue resolution, acceptance evidence, operational documentation, and stabilization for your deployments.
• Customer communication: Keep technical stakeholders informed about progress, decisions, dependencies, and risks.
• Product improvement: Turn recurring deployment problems into reusable code, tooling, and well-defined improvements with core engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed