Senior Forward Deployed Engineer

At Trinity Industries
, we don’t just build railcars and deliver logistics — we shape the future of industrial transportation and infrastructure. As a Senior Forward Deployed Engineer
, you’ll be on the front lines deploying Palantir Foundry solutions directly into our operations, partnering with business leaders and frontline teams to transform complex requirements into intuitive, scalable solutions. Your work will streamline manufacturing, optimize supply chains, and enhance safety across our enterprise. This is more than a coding role — it’s an opportunity to embed yourself in the heart of Trinity’s mission, solving real‑world challenges that keep goods and people moving across North America.

Join our team today and be a part of Delivering Goods for the Good of All!

What you’ll do:

End-to-End Solution Delivery:

• Autonomously lead the design, development, and deployment of scalable data pipelines, full applications, and workflows in Palantir Foundry, integrating with cloud platforms (e.g., AWS, Azure, GCP) and external sources (e.g., Snowflake, Oracle, REST APIs). Ensure solutions are reliable, secure, and compliant with industry standards (e.g., GDPR, SOX), while handling ambiguity and delivering on‑time results in high‑stakes environments. Demonstrate deep expertise in Foundry's ecosystem to independently navigate and optimize complex builds

Full Application and Workflow Development:

• Build comprehensive, end‑to‑end applications and automated workflows using Foundry modules such as Workshop, Slate, Quiver, Contour, and Pipeline Builder. Focus on creating intuitive, interactive user experiences that integrate front‑end interfaces with robust back‑end logic, enabling seamless operational tools like real‑time supply chain monitoring systems or AI‑driven decision workflows, going beyond data models to deliver fully functional, scalable solutions

Data Modeling and Transformation for Advanced Analytics:

• Architect robust data models and ontologies in Foundry to standardize and integrate complex datasets from manufacturing and logistics sources. Develop reusable transformation logic using PySpark, SQL, and Foundry tools (e.g., Pipeline Builder, Code Repositories) to cleanse, enrich, and prepare data for advanced analytics, enabling predictive modeling, AI‑driven insights, and operational optimizations like cost reductions or efficiency gains. Focus on creating semantic integrity across domains to support proactive problem‑solving and outcomes

Dashboard Development and Visualization:

• Build interactive dashboards and applications using Foundry modules (e.g., Workshop, Slate, Quiver, Contour) to provide real‑time KPIs, trends, and visualizations for business stakeholders. Leverage these tools to transform raw data into actionable insights, such as supply chain monitoring or performance analytics, enhancing decision‑making and user adoption

AI Integration and Impact:

• Elevate business transformation by designing and implementing AIP pipelines and integrations that harness AI/ML for high‑impact applications, such as predictive analytics in leasing & logistics, anomaly detection in manufacturing, or automated decision‑making in supply chains. Drive transformative innovations through AIP's capabilities, integrating Large Language Models (LLMs), Tensor Flow, PyTorch, or external APIs to deliver bottom‑line results

Leadership and

Collaboration:

• Serve as a lead FDE on the team, collaborating with team members through hands‑on guidance, code reviews, workshops, and troubleshooting. Lead by example in fostering a culture of efficient Foundry building and knowledge‑sharing to scale team capabilities

Business Domain Strategy and

Innovation:

• Deeply understand Trinity's industrial domains (e.g., leasing financials, manufacturing processes, supply chain logistics) to identify stakeholder needs better than they do themselves. Propose and implement disruptive solutions that drive long‑term productivity, retention, and business transformation, incorporating interoperable cloud IDEs such as Databricks for complementary data processing and analytics workflows

Collaboration and Stakeholder Engagement:

• Work cross‑functionally with senior…