AI Engineer Sr

Impact-focused, enterprise-scale AI is the center of this senior role. As an AI Engineer Sr on the AI Engineering team at Doosan Bobcat NA US, you will design, implement, and optimize production-ready AI solutions, including generative AI and intelligent agents, integrated into digital products and operational systems. You will work alongside the AI Enablement team to ensure solutions align with security, governance, and architecture compliance, helping deliver measurable business impact.

Responsibilities

• 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 for 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.
• Partner 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 move 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, establish engineering best practices, and help foster a high-quality development culture.
• Manage 3rd party contractors and university projects.

Requirements

• 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 record 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 collaboration.
• Exposure to MLOps practices (CI/CD, model monitoring) and experience discussing data privacy and ethics.
• Demonstrated ability to mentor and guide junior team members.
• Strong analytical skills for solving complex challenges.
• Open to adopting new technologies and enhancing workflows in a dynamic environment.

Technologies

Python, LangChain, Hugging Face, OpenAI APIs, AWS, Docker, Kubernetes, REST, GraphQL, CI/CD, model monitoring

Location: West Fargo, ND (onsite)