Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
Responsibilities|Design and develop AI applications and infrastructure.
Consult external customers on tech and solutions, Scope engagements, own timeline & acceptance criteria, coordinate team, maintain onboarding-to-handoff playbookCollaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.
Stay current with the latest AI trends and technologies, especially Google Google Cloud Platform Create and maintain AI models and algorithms.
Conduct AI research to improve existing systems and develop new technologies.
Identify opportunities for AI solutions within the organization and propose strategic plans.
Train team members and stakeholders on AI and its applications.
Ensure compliance with data privacy regulations in AI applications.
Monitor the performance of AI systems and make necessary adjustments.
Required Skills4 year bachelor s degree in Computer Science Information Technology Computer Engineering from a recognized university or equivalent experience with a specialization in Data Science. Proven experience as an AI Architect or similar role in the industry. Strong knowledge of AI technologies, specifically Google Google Cloud Platform . Understanding of data structures, data modeling, and software architecture. Ability to work collaboratively with a diverse team of engineers and developers. Strong communication and project management skills.
Nice to HaveKnowledge of data privacy regulations and practices. Experience in training team members on AI technologies and applications. Strong problem-solving skills and the ability to think strategically.
Work Experience 7-10Years
HI
HAN IT Staffing Inc.
Forward Deployed Engineer (FDE) Agentic AI & Enterprise Solutions
Career Insights for Artificial Intelligence Engineer (General)
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Minnesota data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$137,984 / year median in Minnesota
Job Description
JD:
Lead FDE - Contact CenterAs an AI Lead Architect, you will be in charge of designing and implementing AI capabilities for Enterprise level applications. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.|As a highly qualified individual with proven experience you will be architecting and deploying enterprise-scale cloud platforms and solutions on Google Cloud Platform.|This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team.Responsibilities|Design and develop AI applications and infrastructure.
Consult external customers on tech and solutions, Scope engagements, own timeline & acceptance criteria, coordinate team, maintain onboarding-to-handoff playbookCollaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.
Stay current with the latest AI trends and technologies, especially Google Google Cloud Platform Create and maintain AI models and algorithms.
Conduct AI research to improve existing systems and develop new technologies.
Identify opportunities for AI solutions within the organization and propose strategic plans.
Train team members and stakeholders on AI and its applications.
Ensure compliance with data privacy regulations in AI applications.
Monitor the performance of AI systems and make necessary adjustments.
Required Skills4 year bachelor s degree in Computer Science Information Technology Computer Engineering from a recognized university or equivalent experience with a specialization in Data Science. Proven experience as an AI Architect or similar role in the industry. Strong knowledge of AI technologies, specifically Google Google Cloud Platform . Understanding of data structures, data modeling, and software architecture. Ability to work collaboratively with a diverse team of engineers and developers. Strong communication and project management skills.
Nice to HaveKnowledge of data privacy regulations and practices. Experience in training team members on AI technologies and applications. Strong problem-solving skills and the ability to think strategically.
Work Experience 7-10Years