AI Engineer Sr

Doosan Corp•West Fargo, ND

1d•Onsite

About The Position

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.

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 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.

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 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.