Software Engineer, Forward Deployed Engineer – Enterprise AI Solutions

Role Overview

• Lead complex enterprise deployments from ambiguity to production
• Partner directly with strategic customers and internal teams to understand business goals, technical constraints, data realities, delivery risks, and success metrics
• Translate those inputs into a clear technical approach that accelerates deployment and value realization
• Design, build, and deliver production-quality solutions required for complex deployments
• Enable agentic AI deployments in real enterprise environments
• Create solutions that are fast to deliver and safe to inherit
• Reduce friction for high-complexity accounts
• Turn customer-specific work into product and platform insight
• Help define how forward-deployed engineering scales

Requirements

• 2 to 5 years of experience in software engineering, implementation engineering, applied AI engineering, solutions engineering, data engineering, or a similarly technical role in enterprise software or AI-first SaaS
• Strong hands-on coding experience, especially in Python
• Experience building and shipping production-grade workflows, services, applications, integrations, or data utilities
• Hands-on experience with Databricks, including PySpark, Delta tables, pipeline development, and data-sharing patterns
• Experience building and managing data pipelines that ingest, validate, transform, and operationalize data from sources such as Snowflake, ERP systems, APIs, flat files, and customer data warehouses
• Experience designing or contributing to data warehouse architecture, scalable ingestion workflows, data models, and transformation logic
• Strong understanding of cloud-native application design and production practices, including deployment, testing, logging, monitoring, observability, and operational support
• Experience translating ambiguous customer requirements into clear technical solutions, delivery plans, and production-ready outputs
• Ability to work effectively with technical and non-technical stakeholders, including executives, supply chain leaders, IT teams, data teams, implementation teams, Product, Engineering, Agent Success, and Support
• Strong written communication skills, with disciplined documentation and handoff practices
• High ownership, strong execution, and comfort operating in ambiguous, fast-moving enterprise environments
• Strong product and systems thinking, including the ability to identify repeatable patterns and separate one-off customization from broader platform opportunities

Tech Stack

• Cloud
• ERP
• PySpark
• Python

Benefits

• Full-stack benefits for health, wealth and wellbeing