Lead AI Engineer

Daimler Truck North America; United States; Hybrid; USD 117,000 - 150,000; Full time

Benefits offered by this job

Annual bonus

401k match up to 6%

Non-elective company contribution 3-7%

4 weeks vacation

13+ holidays

8 weeks parental leave

Employee assistance program

Healthcare plans and wellness

Onsite fitness

Tuition assistance

Disability plans

Job summary

Daimler Truck North America is seeking a Lead AI Engineer to drive end-to-end AI delivery for Procurement and Supply Chain in a hybrid Portland, OR setting. You will shape data architectures, build scalable AI solutions, and lead cross-functional teams across analytics and IT.

Key focus areas include Palantir Foundry, LLM-based apps, AI agents, and API integrations, with strong emphasis on governance, security, and operational excellence in a fast-paced environment.

Qualifications

• `Bachelor's degree` in a relevant field; strong programming and analytics; leadership experience; experience building AI/ML solutions; knowledge of prompt engineering and RAG; ability to translate business needs into technical solutions; Lean methodologies.

Responsibilities

• Design, build, test, deploy, and maintain AI-enabled applications using Palantir Foundry and associated AI platforms
• Work with business stakeholders to identify, evaluate, and prioritize AI and analytics 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
• Engineer scalable, 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
• Build robust data pipelines and connectivity frameworks
• Design data architectures that support interoperability, discoverability, and future use-case expansion
• Collaborate with IT on security, permissions, governance, and system integration requirements
• Design and support infrastructure architecture 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
• Provide operational support for deployed AI applications
• Monitor application performance, reliability, and adoption metrics
• Accept technical incident escalations 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
• 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 the 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

Skills

Python

Java

C++

TypeScript/JavaScript

SQL

AI Engineering

Data Engineering

Software Development

Lean

Education

Bachelors degree

Tools

Palantir Foundry

LLMs

AI agents

APIs

Job description

Lead AI Engineer to drive end-to-end delivery and adoption of AI-enabled solutions for Procurement and Supply Chain in a hybrid setup in Portland, OR.

Responsibilities

• Design, build, test, deploy, and maintain AI-enabled applications using Palantir Foundry and associated AI platforms
• Work with business stakeholders to identify, evaluate, and prioritize AI and analytics 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
• Engineer scalable, 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
• Build robust data pipelines and connectivity frameworks
• Design data architectures that support interoperability, discoverability, and future use-case expansion
• Collaborate with IT on security, permissions, governance, and system integration requirements
• Design and support infrastructure architecture 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
• Provide operational support for deployed AI applications
• Monitor application performance, reliability, and adoption metrics
• Accept technical incident escalations 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
• 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 the 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

Requirements

• 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
• 2+ years experience in one or more of: AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, Advanced Analytics
• Strong programming skills in Python, Java, C++, TypeScript/JavaScript, and 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, and Cloud and Platform Architectures
• Strong analytical and problem-solving capabilities
• Ability to translate business needs into technical solutions
• Excellent communication and stakeholder engagement skills
• Comfortable working in a fast-paced, highly iterative environment
• Ability to collaborate effectively with technical and non-technical teams
• Experience applying Lean methodologies and continuous improvement principles

Technologies

• Palantir Foundry
• LLMs
• AI agents
• Machine learning
• Workflow automation technologies
• Ontology design
• Schema architecture
• APIs
• TypeScript/JavaScript
• Python
• Java
• C++
• SQL
• Retrieval Augmented Generation (RAG)
• Model Evaluation
• Data pipelines
• Cloud and platform architectures
• Predictive analytics
• Generative AI

Benefits

• Annual bonus program
• 401k company contribution with company match up to 6%
• Non-elective company contribution of 3 - 7% depending on age
• Starting at 4 weeks paid vacation
• 13+ calendar holidays
• 8 weeks paid parental leave
• Employee assistance program
• Comprehensive healthcare plans and wellness programs
• Onsite fitness (at some locations)
• Tuition assistance and volunteer paid time off
• Short-term and long-term disability plans

Schedule and Location

• Hybrid (4 days per week in-office / 1 day remote)
• Portland, OR, US

Compensation

• USD 117,000 - 150,000 per year

Additional Information

• Visa sponsorship will only be open to current Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa
• All other applicants must be legally authorized to work permanently in the country where the position is located at the time of application
• Final candidate must successfully complete a criminal background checkFinal candidate may be required to successfully complete a pre-employment drug screen
• Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
• EEO - Disabled/Veterans