AI Delivery & Platform Director (Hybrid)

Daimler Truck AG; Portland (OR); Ibrido; USD 117.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual bonus program

401k company contribution with company

Company match up to 6%

Non-elective company contributions 3-7

4 weeks paid vacation

13+ calendar holidays

8 weeks paid parental leave

Employee assistance program

Comprehensive healthcare plans andwell

Wellness programs

Onsite fitness at some locations

Tuition assistance

Volunteer paid time off

Descrizione del lavoro

Daimler Truck North America is seeking a Lead AI Engineer to drive end-to-end AI-enabled solutions across Procurement and Supply Chain. You will lead a cross-functional team of AI Engineers, Data Engineers, and business stakeholders to design, deploy, and adopt scalable AI applications using Palantir Foundry and related platforms.

The role balances technical execution with leadership and strategic direction, ensuring business value, governance, and operational excellence in a hybrid

Competenze

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or a related field.
• At least 1 year of group leader, project lead or mentoring experience required
• 2+ years of experience in AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, or Advanced Analytics.
• Strong programming skills in Python, Java, C++, TypeScript/JavaScript, SQL.
• Experience building and deploying AI, machine learning or LLM-based solutions.
• Understanding of prompt engineering, Retrieval Augmented Generation (RAG), AI Agents, Model Evaluation, Machine Learning Fundamentals, Data Pipelines, API Development, Cloud and Platform Architectures.

Mansioni

• Design, build, test, deploy, and maintain AI-enabled applications within Palantir Foundry and associated AI platforms.
• Collaborate with business stakeholders to identify, evaluate, and prioritize use cases.
• Develop solutions using LLMs, AI agents, machine learning techniques, and workflow automation technologies.
• Participate in rapid, iterative development cycles to deliver business value quickly.
• Engineer scalable and reusable solutions with global deployment potential.
• Define and consult on ontology design, object models, and schema architecture.
• Identify, ingest, clean, transform, and integrate enterprise and external data sources.
• Develop robust data pipelines and connectivity frameworks.
• Design data architectures that maximize interoperability, discoverability, and future use-case expansion.
• Collaborate with IT on security, permissions, governance, and system integration requirements.
• Design and support infrastructure architecture required for AI and data applications.
• Develop APIs, integrations, and platform connectivity solutions.
• Support engineering standards, scalability, performance optimization, and deployment practices.
• Evaluate and incorporate emerging AI technologies and tools into enterprise solutions.
• Own operational support for deployed AI applications.
• Monitor application performance, reliability, and adoption metrics.
• Accept escalations for technical incidents and troubleshoot root causes.
• Coordinate with IT Service Management and platform support teams to resolve issues.
• Ensure operational excellence and continuous platform improvement.
• Apply Lean principles and value-stream thinking to identify process inefficiencies.
• Reimagine business processes through automation, AI agents, predictive analytics, and intelligent workflows.
• Evaluate emerging AI capabilities and determine practical business applications.
• Drive innovation by continuously exploring advancements in generative AI, machine learning, and automation technologies.
• Promote AI literacy and digital transformation across Procurement and Supply teams.
• Deliver training, demonstrations, workshops, and knowledge-sharing sessions.
• Mentor super users, champions, and citizen developers.
• Support change management and adoption efforts for newly deployed solutions.
• Foster collaboration with the Palantir ecosystem and broader AI community.
• Contribute technical expertise to governance reviews and architectural decisions.
• Support evaluation and prioritization of approved and backlog use cases.
• Ensure compliance with enterprise standards, security requirements, and AI governance frameworks.
• Provide technical assessments, effort estimates, and implementation recommendations to leadership and steering committees.

Conoscenze

Python

Java

C++

TypeScript/JavaScript

SQL

AI Engineering

Data Engineering

Software Development

Supply Chain

Leadership

Formazione

Bachelor’s degree in Computer Science or related field

Strumenti

Palantir Foundry

Cloud platforms

Descrizione del lavoro

Daimler Truck North America is seeking a Lead AI Engineer to drive end-to-end AI-enabled solutions across Procurement and Supply Chain. You will lead a cross-functional team of AI Engineers, Data Engineers, and business stakeholders to design, deploy, and adopt scalable AI applications using Palantir Foundry and related platforms.

The role balances technical execution with leadership and strategic direction, ensuring business value, governance, and operational excellence in a hybrid