SENIOR AI Engineer (STRICTLY OUR W2 -- Do NOT respond if you're looking for C2C)

Remote • Posted 5 hours ago • Updated 5 hours ago
Contract W2
1 Year
No Travel Required
Able to Sponsor
Remote
Up to $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Engineer
  • Lead
  • Coaching
  • AI Skills
  • AI Agents
  • Templates Hub
  • Workflows
  • Python
  • Github
  • AWS
  • Frameworks
  • Langchain
  • MCPs
  • RAG
  • Vector
  • Harness Engineering
  • Big Data
  • Databricks

Summary

InfoWeb Systems, Inc. has the following requirement for our direct client, John Deere Intelligent Solutions. If you feel you are a fit and are interested in applying for this opportunity please respond with your MS Word formatted resume.

 

To be considered you must RESIDE, be currently eligible to work in the US and willing to become a InfoWeb W2 employee.

 

 

*** Absolutely NO Corp to Corp! ***

 

*** Absolutely NO Corp to Corp! ***

 

*** Absolutely NO Corp to Corp! ***

 

 

Location: REMOTE OR onsite in Austin, TX; Chicago, IL; or Urbandale, IA

Duration: 1+ year to LONG term

Rate: up to $70/hr on OUR W2

 

 

Glider Assessment will be required PRIOR to submitting resume to the client

 

AI Engineer


Role Summary:
Support the AI Enablement program by building and maintaining the tools, content, and processes that accelerate AI adoption across the organization. This individual will partner with AI Enablement leads and embedded AI coaches to turn successful use cases into reusable skills, agents, templates, workflows, and knowledge assets that can be shared across teams. The role aligns with the AI Enablement vision of providing reusable AI capabilities, onboarding resources, and adoption support across department.

Key Responsibilities:
- Build and maintain the AI Skills, Agents, and Templates Hub.
- Develop reusable AI skills, agents, workflows, and starter templates.
- Create onboarding material, documentation, and best practices.
- Manage intake, prioritization, and tracking of AI enablement requests.
- Support AI coaches in packaging and scaling successful team solutions.
- Measure adoption, maintain asset quality, and coordinate releases.


Working Model
- Acts as the central builder and operator for shared AI enablement capabilities.
- AI coaches identify use cases, provide domain expertise, validate solutions, and drive adoption within their teams.
- AI Enablement leadership sets priorities and strategic direction. This complements the embedded coach model announced across DSG.

Success Measures:
- Increased adoption of AI tools and resources.
- Growth of reusable skills, agents, and templates.
- Faster onboarding and knowledge sharing.
- Reduced duplication of effort across teams.
- Improved discoverability and reuse of AI solutions.

Additional Required Skills:
Python expertise
Github
AWS is a plus
AI Frameworks (ex. Langchain)
MCPs
RAG and Vector Database
Harness Engineering


Nice to have:
Big Data (Databricks)
Multi agent system design/development

 

InfoWeb is strongly committed to supporting diversity and inclusiveness in the workplace as well as in our recruiting practices.

 

Thanks!

Mary

 

Mary Loney Bichell

InfoWeb Systems, Inc.

Dubuque, IA

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111128
  • Position Id: JD44437
  • Posted 5 hours ago
Contact the job poster
Mary Loney

Mary Loney

Infoweb Systems, Inc. Recruiter @ Infoweb Systems, Inc.
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