T
AI Engineer
Talentify.io
3 hours ago
Full-time
On-site
Position Title: AI Engineer
Can sit in Austin, TX, Chicago, IL, Urbandale, IA, or fully remote
Glider test is being developed and will be required BEFORE candidate is submitted.
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
EEO "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
#J-18808-Ljbffr
Can sit in Austin, TX, Chicago, IL, Urbandale, IA, or fully remote
Glider test is being developed and will be required BEFORE candidate is submitted.
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
EEO "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
#J-18808-Ljbffr