AI Developer

Daimler Truck North America•Portland, OR

1d•Hybrid

About The Position

The lead AI developer/engineer is responsible for end-to-end delivery, adoption, and value realization of AI-enabled solutions across Procurement and Supply Chain. The role provides technical leadership, delivery oversight, people leadership, and strategic direction to ensure applications are designed, developed, deployed, operated, and adopted successfully. It 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 designs, builds, tests, deploys, and maintains AI-enabled applications using Palantir Foundry and associated AI platforms; develops data and integration architectures; supports platform engineering and operations; and advances continuous improvement, innovation, governance, and organizational adoption. It also promotes AI literacy through training, workshops, mentoring, and knowledge sharing.

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 AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, or Advanced Analytics.
Strong programming skills in one or more of 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 work 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.

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 AI use cases.
Develop solutions using large language models, 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 advise on ontology design, object models, and schema architecture.
Identify, ingest, clean, transform, and integrate enterprise and external data sources; develop data pipelines and connectivity frameworks.
Design data architectures that support interoperability, discoverability, and future use cases.
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.
Own operational support for deployed AI applications; monitor performance, reliability, and adoption metrics.
Accept escalations for technical incidents, troubleshoot root causes, and coordinate resolutions with IT Service Management and platform support teams.
Ensure operational excellence and continuous platform improvement.
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 sessions.
Mentor super users, champions, and citizen developers; support change management and adoption of 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.

Benefits

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.