D
AI Engineer Sr
Doosan Bobcat NA US
2 hours ago
Full-time
On-site
West Fargo, North Dakota, United States
Doosan Bobcat NA US is seeking an experienced
AI Engineer Sr
to lead the design, implementation, and optimization of enterprise-scale AI capabilities. Based in
West Fargo, ND (onsite) , this role focuses on production-ready AI for digital products and operational systems, including generative AI and intelligent agents.
As a senior technical leader within the AI Engineering team, you will partner closely with the AI Enablement team on security, governance, and architecture compliance while driving measurable business impact through advanced AI features.
What you’ll do
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 such as
predictive maintenance ,
diagnostics , and
customer support automation .
Make development decisions in alignment with AI Enablement guidance on approved architectural and integration patterns.
Collaborate with product owner, software engineering, solution architect, and business teams to integrate AI features into production release cycles.
Work 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 to assess potential impact on product capabilities and operational efficiency.
Drive initiatives that move prototypes 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 support a high-quality development culture.
Manage
3rd party contractors
and
university projects .
Requirements
Bachelor’s degree
in Computer Science, AI, Data Science, or a related field;
Master’s preferred .
5–7 years
of AI/ML engineering experience with a track 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 on
AWS
and containerization with
Docker
and
Kubernetes .
Experience building
REST/GraphQL APIs
and designing
data pipelines .
Effective communication skills for conveying technical information to diverse stakeholders.
Ability to work in teams and lead cross-functional collaboration.
Exposure to
MLOps
practices including
CI/CD
and
model monitoring , plus discussions on data privacy and ethics.
Demonstrated ability to mentor and guide junior team members.
Strong analytical skills to tackle complex challenges.
Open to adopting new technologies and enhancing workflows in a dynamic environment.
Core technologies
Python, LangChain, Hugging Face, OpenAI APIs
AWS, Docker, Kubernetes
REST, GraphQL
CI/CD, model monitoring
This position emphasizes building advanced AI capabilities from generative AI to intelligent agents embedded in products and platforms. While AI Enablement owns security, governance, and overarching AI architecture frameworks, the AI Engineer Sr partners with that team to ensure solutions meet compliance and architectural standards.
#J-18808-Ljbffr
AI Engineer Sr
to lead the design, implementation, and optimization of enterprise-scale AI capabilities. Based in
West Fargo, ND (onsite) , this role focuses on production-ready AI for digital products and operational systems, including generative AI and intelligent agents.
As a senior technical leader within the AI Engineering team, you will partner closely with the AI Enablement team on security, governance, and architecture compliance while driving measurable business impact through advanced AI features.
What you’ll do
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 such as
predictive maintenance ,
diagnostics , and
customer support automation .
Make development decisions in alignment with AI Enablement guidance on approved architectural and integration patterns.
Collaborate with product owner, software engineering, solution architect, and business teams to integrate AI features into production release cycles.
Work 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 to assess potential impact on product capabilities and operational efficiency.
Drive initiatives that move prototypes 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 support a high-quality development culture.
Manage
3rd party contractors
and
university projects .
Requirements
Bachelor’s degree
in Computer Science, AI, Data Science, or a related field;
Master’s preferred .
5–7 years
of AI/ML engineering experience with a track 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 on
AWS
and containerization with
Docker
and
Kubernetes .
Experience building
REST/GraphQL APIs
and designing
data pipelines .
Effective communication skills for conveying technical information to diverse stakeholders.
Ability to work in teams and lead cross-functional collaboration.
Exposure to
MLOps
practices including
CI/CD
and
model monitoring , plus discussions on data privacy and ethics.
Demonstrated ability to mentor and guide junior team members.
Strong analytical skills to tackle complex challenges.
Open to adopting new technologies and enhancing workflows in a dynamic environment.
Core technologies
Python, LangChain, Hugging Face, OpenAI APIs
AWS, Docker, Kubernetes
REST, GraphQL
CI/CD, model monitoring
This position emphasizes building advanced AI capabilities from generative AI to intelligent agents embedded in products and platforms. While AI Enablement owns security, governance, and overarching AI architecture frameworks, the AI Engineer Sr partners with that team to ensure solutions meet compliance and architectural standards.
#J-18808-Ljbffr