Sr AI Engineer

Daimler Truck•Charlotte, NC

1d•Hybrid

About The Position

We digitize everywhere possible – you will champion intelligent automation to eliminate manual workstreams and surface real-time insights in core captive finance operations. The Senior AI Engineer in an AI Focused role, responsible for designing, developing, and deploying advanced AI solutions, including Generative and Agentic AI Agents, to support key business functions. This position emphasizes hands-on technical leadership in AI and machine learning, ensuring scalable and secure implementations. The role collaborates closely with cross-functional teams and business experts to drive AI adoption and innovation, while maintaining alignment with organizational priorities and compliance standards. 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 • Typically requires a Bachelors Degree • Typically requires 5-7 years of relevant experience or 8 years of relevant experience in lieu of degree • Requires in-depth knowledge and expertise in job field and working knowledge of related disciplines • Uses analytical thought to independently solve complex problems with minimal guidance and identify solutions • May lead team or department projects or work streams within broader projects • Acts as an advisor to management and key external stakeholders on job field related projects • Acts as a resource and guide for colleagues with less experience • Uses experience to contribute to standards in which others will operate What You Drive Lead the development and deployment of AI-driven solutions, with a strong emphasis on Generative and Agentic AI technologies Identify innovation opportunities and apply automation solutions using AI platforms and technologies Building and deploying scalable automation solutions using AI/ML platforms, Java, TypeScript, Python, APIs Collaborate with Data Science, IT, and business teams to implement scalable AI solutions Collaborate with data engineers to build robust ingestion layers and ensure high-quality data inputs for intelligent automation Support enterprise AI initiatives under the guidance of senior leadership, focusing on operationalization and adoption Participate in automation and process improvement initiatives leveraging AI technologies Collaborate with cross-functional teams to integrate AI systems, including generative AI, into products and services Ensure compliance with data privacy, security, and regulatory standards in all AI implementations Monitor and optimize AI model performance; develop dashboards and reporting tools for stakeholders Knowledge You Should Bring Bachelor’s degree in data science, IT or analytics and prefer 5-7 years of relevant experience or 8 years of relevant experience in Information Technology Proficiency in programming languages and tools for AI development and integration Experience collaborating with IT and software engineering teams to ensure AI/ML solutions align with existing infrastructure Proficient in programming languages such as Python, Java, and C++. Strong problem-solving and analytical skills; able to translate business problems into AI-driven solutions Ability to design and implement API-driven solutions for seamless integration with enterprise systems Ability to identify and understand business issues and map these issues into quantitative questions Effective communication and presentation skills; able to explain complex AI concepts to non-technical audiences Ability to identify and understand business issues and map these issues into quantitative questions Analytical skills: Ability to collect data and establish facts, identify trends and variances; ability to integrate information from a variety of sources with varied levels of complexity Attention to detail, customer focus, planning and organizing, problem solving and analysis, teamwork and collaboration Exceptional Candidates Might Have Experience working with building applications using Large Language Models and Cloud Native Platforms (eg. Microsoft Fabric, Palantir, Snowflake) Familiarity with RESTful APIs, microservices, and best practices for secure and scalable API design Hands-on experience with machine learning and AI platforms (Python, R, SAS) and modern AI frameworks Knowledge of advanced statistical modeling, predictive analytics, and machine learning algorithms 5+ years leading through mentorship in related field 5+ years leading projects and initiatives through influence preferred Bachelor's or master's degree in computer science, artificial intelligence, mathematics, statistics, or a related field Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Charlotte, NC 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. Daimler Truck Financial is the captive financial services provider for the Daimler Trucks North America family of commercial vehicle products, including Freightliner Trucks, Western Star, SelecTrucks, Sprinter Vans, Thomas Built Buses and Fuso. We have specialized in financing commercial vehicles for more than 40 years. This proven experience gives us critical insights into helping businesses overcome challenges unique to the trucking industry. Additionally, we offer a range of financing solutions that can be customized to meet each individual business's needs, from owner-operators to large fleet managers and nearly every venture in-between. To achieve our goal of being the first-choice provider of vehicle financial products and services that support our brands, dealers and customers, we are looking for talented, diverse and inspired people with the skills, experience and innovative spirit to provide a first-class experience at every turn. We are committed to providing a great workplace environment that fosters a culture of openness, support and camaraderie. Our employee programs and benefits are reflective of our values and are designed to promote growth, balance and wellness in many aspects of your career and life. Additional Information Applicants must be legally authorized to work permanently in the country of posting Final candidate must successfully complete a criminal background check 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 Financial Services 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 SHAPE YOUR FUTURE. CHANGE THE WORLD. Are you ready to join the inspired people who are helping shape the future of commercial vehicle manufacturing? Our employees enjoy lucrative benefits, competitive salaries and the opportunity to work in jobs across many functions—mechanical engineering and electrical engineering, accounting, sales & marketing, IT and more—both within our company and in our offices around the world.

Requirements

Bachelor’s degree in data science, IT or analytics and prefer 5-7 years of relevant experience or 8 years of relevant experience in Information Technology
Proficiency in programming languages and tools for AI development and integration
Experience collaborating with IT and software engineering teams to ensure AI/ML solutions align with existing infrastructure
Proficient in programming languages such as Python, Java, and C++
Strong problem-solving and analytical skills; able to translate business problems into AI-driven solutions
Ability to design and implement API-driven solutions for seamless integration with enterprise systems
Ability to identify and understand business issues and map these issues into quantitative questions
Effective communication and presentation skills; able to explain complex AI concepts to non-technical audiences
Ability to identify and understand business issues and map these issues into quantitative questions
Analytical skills: Ability to collect data and establish facts, identify trends and variances; ability to integrate information from a variety of sources with varied levels of complexity
Attention to detail, customer focus, planning and organizing, problem solving and analysis, teamwork and collaboration

Nice To Haves

Experience working with building applications using Large Language Models and Cloud Native Platforms (eg. Microsoft Fabric, Palantir, Snowflake)
Familiarity with RESTful APIs, microservices, and best practices for secure and scalable API design
Hands-on experience with machine learning and AI platforms (Python, R, SAS) and modern AI frameworks
Knowledge of advanced statistical modeling, predictive analytics, and machine learning algorithms
5+ years leading through mentorship in related field
5+ years leading projects and initiatives through influence preferred
Bachelor's or master's degree in computer science, artificial intelligence, mathematics, statistics, or a related field

Responsibilities

Lead the development and deployment of AI-driven solutions, with a strong emphasis on Generative and Agentic AI technologies
Identify innovation opportunities and apply automation solutions using AI platforms and technologies
Building and deploying scalable automation solutions using AI/ML platforms, Java, TypeScript, Python, APIs
Collaborate with Data Science, IT, and business teams to implement scalable AI solutions
Collaborate with data engineers to build robust ingestion layers and ensure high-quality data inputs for intelligent automation
Support enterprise AI initiatives under the guidance of senior leadership, focusing on operationalization and adoption
Participate in automation and process improvement initiatives leveraging AI technologies
Collaborate with cross-functional teams to integrate AI systems, including generative AI, into products and services
Ensure compliance with data privacy, security, and regulatory standards in all AI implementations
Monitor and optimize AI model performance; develop dashboards and reporting tools for stakeholders