What are the responsibilities and job description for the AI Engineer Sr position at Bobcat Company?
At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers – and make the world a better place. Join our team today and start building your career with a worldwide leader.
The AI Engineer Sr is an experienced technical leader within the AI Engineering team, responsible for designing, implementing, and optimizing enterprise-scale AI solutions that are production-ready and deliver measurable business impact. This role focuses on building advanced AI features — from generative AI to intelligent agents — embedded in products and platforms. While security, governance, and overarching AI architecture frameworks are managed by the AI Enablement team, the AI Engineer Sr partners closely with them to ensure solutions meet all compliance and architectural standards.
Role & Responsibility
Advanced AI Solution Development
What Skills, Education, And Experience You’ll Need
Doosan is an Equal Opportunity Employer, including Individuals with Disabilities and Protected Veterans. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, religion, creed, citizenship status, national origin, disability, marital status, sexual orientation, gender identity, protected veteran status, or any other status or characteristic protected by law. If you have a disability or special need that requires accommodation, please contact us at 701-476-4263.
Beware of Fraudulent Job Offers and Solicitations
Any legitimate job offer will be preceded by an official selection process.
- Location: West Fargo-Main Office
The AI Engineer Sr is an experienced technical leader within the AI Engineering team, responsible for designing, implementing, and optimizing enterprise-scale AI solutions that are production-ready and deliver measurable business impact. This role focuses on building advanced AI features — from generative AI to intelligent agents — embedded in products and platforms. While security, governance, and overarching AI architecture frameworks are managed by the AI Enablement team, the AI Engineer Sr partners closely with them to ensure solutions meet all compliance and architectural standards.
Role & Responsibility
Advanced AI Solution Development
- Lead end-to-end implementation of complex AI models and applications integrated into digital products and operational systems.
- Translate business requirements into scalable AI solutions that perform reliably in production environments.
- Architect and develop high-performance AI applications and multi-step agents optimized for latency, accuracy, and maintainability.
- Extend and adapt agent frameworks to meet specialized use cases including predictive maintenance, diagnostics, and customer support automation.
- Align development decisions with AI Enablement team guidance on approved architectural and integration patterns.
- Work closely with product owner, software engineering, solution architect, and business teams to integrate AI features into production release cycles.
- Collaborate with AI Enablement on security reviews, architecture compliance, and governance approvals.
- Ensure ethical data usage and adherence to privacy and compliance requirements.
- Evaluate emerging AI tools, frameworks, and techniques for potential impact on product capabilities and operational efficiency.
- Lead initiatives that transform prototype concepts into production-grade capabilities with measurable ROI.
- Recommend optimizations to improve model inference speed, scalability, and cost efficiency.
- Provide technical guidance and mentorship to AI Engineer I and II team members.
- Lead code reviews, set engineering best practices, and foster a high-quality development culture.
- Managing 3rd party contractors and university projects.
What Skills, Education, And Experience You’ll Need
- Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s preferred.
- 5–7 years in AI/ML engineering with a proven track record of delivering production-grade solutions.
- Expert-level proficiency in Python, major LLM frameworks (LangChain, Hugging Face, OpenAI APIs), and AI agent orchestration.
- Strong knowledge of cloud-native AI deployment (AWS) and containerization (Docker, Kubernetes).
- Experience building REST/GraphQL APIs and designing data pipelines.
- Effective communication skills to convey technical information to various stakeholders.
- Ability to work effectively in teams and lead cross-functional collaborations.
- Exposure to MLOps practices (CI/CD, model monitoring) and discussions on data privacy and ethics.
- Demonstrated ability to mentor and guide junior team members.
- Strong analytical skills to approach and solve complex challenges effectively.
- Open to adopting new technologies and enhancing workflows in a dynamic environment.
Doosan is an Equal Opportunity Employer, including Individuals with Disabilities and Protected Veterans. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, religion, creed, citizenship status, national origin, disability, marital status, sexual orientation, gender identity, protected veteran status, or any other status or characteristic protected by law. If you have a disability or special need that requires accommodation, please contact us at 701-476-4263.
Beware of Fraudulent Job Offers and Solicitations
Any legitimate job offer will be preceded by an official selection process.