Daimler Truck AG

You would build and deploy AI, machine learning, and automation solutions and advise business teams and IT on analytics platforms. | The role requires a bachelor's degree and 5+ years of experience or 8 years of relevant experience, with advanced Python and SQL skills plus hands-on LLM, cloud data platform, and DevOps experience. | Inside the Role This is a senior individual contributor role focused on building, proving out, and enabling artificial intelligence, machine learning (ML), and automation solutions across DTNA. The person in this role is a hands-on builder who delivers by building alongside the business teams to enable others and ensure sustainability. We are seeking an experienced and innovative data and AI engineer to join our Business Data Analytics Team (BDAT) and help cultivate, accelerate, and activate a data- and AI-driven culture at DTNA. You will play a pivotal role in shaping how the organization applies data, analytics, automation, and AI, developing new ways of working and sharing those best practices across the company. You will be taking promising prototypes to governed, production-ready solutions, working hands-on with information technology (IT) and platform teams, coaching teams to build their own solutions, and serving as a technical reference for BDAT and across DTNA. Your technical expertise will be instrumental in driving data and AI-informed decision-making across all levels of the organization. Just as importantly, you are a willing teacher and collaborator who builds trust, connects people, and inspires action across all levels of the organization. We invite you to help us build the future of data and AI at DTNA and support our vision of making data and AI a common language across the organization. CI Department Culture The Continuous Improvement department fosters a culture of open-mindedness, adaptability, and collaboration. We believe in continuously evolving for the better, embracing change, and working together to achieve shared goals. Team members are encouraged to bring their unique perspectives, collaborate across initiatives, and maintain an inclusive environment where all voices are heard, respected, and valued. The Business Data Analytics Team (BDAT) within the Continuous Improvement (CI) department serves as the enterprise's Center of Enablement for self-service data, analytics, automation, and AI, cultivating a data-driven, continuous improvement culture across Daimler Truck North America (DTNA) and empowering business units to make informed decisions through scalable, sustainable, and democratized data practices. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team Position offers a starting salary range of $117,000 - $150,000 USD Pay offered dependent on knowledge, skills, and experience​ Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as 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. What You Drive at DTNA Technical Depth & Solution Delivery Design, build, and deploy AI/ML, agentic, and automation solutions for high-impact, high-complexity business initiatives, co-developing with business teams so they can own, enhance, and sustain what is built, and translating business objectives into working solutions and rapid proofs of concept. Take promising prototypes to governed, production-ready solutions in partnership with IT, the Data Intelligence Hub (DIH), and business-embedded data teams, applying sound engineering practices such as continuous integration and delivery pipelines, automated testing, and documentation. Build reusable solution patterns, such as connecting business data to conversational AI tools, so that a solution proven once can be adopted by many teams. Develop new ways of working with data, analytics, automation, and AI, and share the resulting best practices with teams across DTNA. Support CI colleagues in developing data, analytics, automation, and AI solutions for their CI programs, advancing CI culture and adoption across DTNA. Serve as a technical reference for BDAT and across DTNA on AI engineering, data platforms, and best practices. Technical Enablement Partner with IT and the DIH to evaluate, pilot, and integrate the tools and platforms that enable self-service analytics, automation, and AI (e.g., Snowflake and Snowflake Cortex, Microsoft Copilot and Copilot Studio, LibreChat, Power Platform, GitHub). Work hands-on with IT and platform teams on the technical details of making these tools work together, including data connections and APIs, access and governance, usage and cost transparency, and auditing of self-service environments. Stay current on emerging data and AI trends, including GenAI, agentic approaches, and automation, test them hands-on, and recommend what DTNA should adopt and when. Coaching & Upskilling Lead hands-on coaching and co-development engagements across business units, from hands-on-keyboard co-development to coaching teams through their own problem solving, using a "teach others to build" approach with tangible deliverables. Coach teams to apply data, analytics, automation, and AI in their own CI work. Provide technical consultation and innovative approaches to solve unique business challenges with data, analytics, automation, and AI. Mentor and develop junior team members and data community practitioners. Strategy & Advisory Collaborate with senior leadership, IT, the AI Center of Excellence (AI CoE), and the enterprise data community (the Hub for Analytic Collaboration) to advance a data- and AI-driven culture and promote self-service analytics, automation, and AI. Act as a strategic and technical advisor to business units on the art of the possible, recommending the right approach (AI/ML, automation, analytics, or BI) for each use case, including when a simpler solution is the better one. Identify new opportunities to apply data, analytics, and AI to strategic initiatives, and challenge established ways of working where the technology points to a better approach. Data & AI Community Building Foster and grow an engaged data and AI community built on collaboration, knowledge sharing, and best practices. Participate in community events, including the annual DT Week conference, workshops, and hackathons, connecting practitioners across all levels and departments. Knowledge You Should Bring Bachelor's degree and 5+ years of relevant experience, or 8 years of relevant experience in lieu of a degree Advanced proficiency in Python and SQL, with the ability to write, review, test, and productionize code, and to sanity-check AI-generated output Demonstrated experience designing, building, and deploying AI/ML, automation, or data solutions beyond the prototype stage and into production Hands-on experience building with LLMs and agentic approaches (e.g., Snowflake Cortex, Microsoft Copilot Studio, LibreChat, or comparable platforms), with sound judgment on when each is and is not appropriate, and a habit of continuous learning as the technology changes Strong grounding in machine learning and statistical methods Hands-on experience with cloud data platforms (e.g., Snowflake), including data modeling, extraction, transformation, and loading (ETL), and API integrations Working knowledge of DevOps practices, including version control (e.g., GitHub), automated testing, and continuous integration and delivery pipelines Ability to coach and co-develop with teams at all levels of the organization, and to translate between business and technical audiences, including executives Exceptional Candidates Might Have Degree in Business, Mathematics, Computer Science, Statistics, Analytics, or a related quantitative field Master's degree in a quantitative field, or a Data Science certification or equivalent Experience with MLOps, including model monitoring and maintenance Experience with governance, cost management, or usage transparency for cloud data and AI platforms Experience designing or delivering training and upskilling programs Familiarity with BI and automation tools (e.g., Power BI, Tableau, Alteryx, Power Platform) Experience scoping and leading time-boxed engagements, including managing scope, timelines, dependencies, and stakeholders Familiarity with continuous improvement principles and methodology, including recognizing when a process needs standardization before a technical solution is built Experience in manufacturing, automotive, or transportation industries #LI-JN2 #LI-Hybrid Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Fort Mill, SC US, Portland, OR US. Relocation assistance is not available for this position. Schedule Type: Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration. At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. Additional Information This position is not open for Visa sponsorship or to existing Visa holders Applicants must be legally authorized to work permanently in the country the position is located in at the time of application Final candidate must successfully complete a criminal background check Final 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 Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.

Lead cross-functional teams in delivering and guiding scalable AI solutions for procurement and supply chain functions. | Requires a bachelor's degree in a relevant field, at least two years in AI, data engineering, or software development, strong programming and AI/ML experience, and one year of leadership or mentoring. | Inside the Role In this role, as a lead AI engineer, you will be responsible for the end-to-end delivery, adoption, and value realization of AI-enabled solutions. The role provides technical leadership, delivery oversight, people leadership, and strategic direction to ensure AI applications are successfully designed, developed, deployed, operated, and adopted across Procurement and Supply Chain functions. The AI lead serves as the primary owner of technical execution and business outcomes, leading a cross-functional team of AI Engineers, Data Engineers, and business stakeholders. This position balances technical expertise, product ownership, stakeholder management, and people leadership to drive scalable AI and data solutions that deliver measurable business value. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team Position offers a starting salary range of $117,000.00 - $150,000.00 USD Pay offered dependent on knowledge, skills, and experience​ Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as 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. What You Drive at DTNA AI Application Development & Delivery 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. 2. Ontology, Data & Integration Architecture 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. 3. Platform Engineering 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. 4. Platform Operations & Support 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. 5. Continuous Improvement & Innovation 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. 6. Community Development & Adoption 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. 7. Governance & Strategic Alignment 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. Knowledge You Should Bring · 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 one or more of the following: AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, Advanced Analytics. · Strong programming skills in languages such as: 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. · 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 both technical and non-technical teams. · Experience applying Lean methodologies and continuous improvement principles. Exceptional Candidates Might Have · Advanced degree preferred but not required. · Experience with Palantir Foundry or similar enterprise data and AI platforms preferred · Working knowledge of one of more of the following: supply chain, material planning, logistics, procurement #LI-CF1 #LI-HYBRID Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Portland, OR US. Relocation assistance is not available for this position. Schedule Type: Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration. At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. 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 the position is located in at the time of application Final candidate must successfully complete a criminal background check Final 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 Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.