Software Engineer, Forward Deployed Engineer – Enterprise AI Solutions

🕒 May 7

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Resilinc

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🏢 Enterprise

☁️ SaaS

Enterprise • AI • SaaS

Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.

📋 Description

• 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

🏖️ Benefits

• Full-stack benefits for health, wealth and wellbeing