AI Developer

Daimler Truck AG•Portland, OR

1d•$117,000 - $150,000•Hybrid

About The Position

As a lead AI developer/engineer, this role owns the end-to-end delivery, adoption, and value realization of AI-enabled solutions across Procurement and Supply Chain. It provides technical leadership, delivery oversight, people leadership, and strategic direction to ensure AI applications are designed, developed, deployed, operated, and adopted successfully. The role leads a cross-functional team of AI Engineers, Data Engineers, and business stakeholders, balancing technical expertise, product ownership, stakeholder management, and people leadership to deliver scalable AI and data solutions with measurable business value. The position develops and supports AI applications, data and integration architecture, platform engineering, and ongoing operations. It also promotes innovation and AI adoption through training, mentoring, change management, governance participation, and alignment with enterprise standards and strategy.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or a related field.
At least 2 years of experience in one or more of the following: AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, or Advanced Analytics.
Strong programming skills in one or more languages such as Python, Java, C++, TypeScript/JavaScript, or 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.
Ability to collaborate effectively with technical and non-technical teams.
Comfort working in a fast-paced, highly iterative environment.
Experience applying Lean methodologies and continuous improvement principles.

Nice To Haves

Advanced degree.
Experience with Palantir Foundry or similar enterprise data and AI platforms.

Responsibilities

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 and 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; develop 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, and evaluate emerging AI technologies and tools.
Own operational support for deployed AI applications; monitor performance, reliability, and adoption; troubleshoot escalated incidents and coordinate resolution with IT Service Management and platform support teams.
Apply Lean principles and value-stream thinking to identify process inefficiencies and reimagine business processes through automation, AI agents, predictive analytics, and intelligent workflows.
Explore emerging generative AI, machine learning, and automation capabilities and identify practical business applications.
Promote AI literacy and digital transformation across Procurement and Supply teams through training, demonstrations, workshops, and knowledge sharing.
Mentor super users, champions, and citizen developers; support change management and adoption; foster collaboration with the Palantir ecosystem and broader AI community.
Contribute technical expertise to governance reviews and architectural decisions; help evaluate and prioritize 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.

Benefits

Starting salary range of $117,000–$150,000 USD, dependent on knowledge, skills, and experience.
Annual bonus program.
401(k) company contribution with company match up to 6%, plus a non-elective company contribution of 3–7% depending on age.
Starting at 4 weeks of paid vacation.
13 or more calendar holidays.
8 weeks of paid parental leave.
Employee assistance program.
Comprehensive healthcare plans and wellness programs.
Onsite fitness at some locations.
Tuition assistance.
Paid volunteer time off.
Short-term and long-term disability plans.