

Tek Leaders Inc
AI Engineering Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineering Lead on a remote contract basis, requiring a degree in Computer Science or related field, expertise in IBM Watson, and experience with multi-cloud integrations and AI agent development.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
March 21, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
United States
-
π§ - Skills detailed
#GitHub #Azure Databricks #Computer Science #Databricks #AI (Artificial Intelligence) #Oracle #Cloud #Langchain #Azure
Role description
AI Engineering Lead
Remote role
Cincinnati, OH
Contract
Required Skills
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field.
β’ Proven experience in leading AI agent development, with a strong understanding of agent architectures, orchestration frameworks, and industry best practices
β’ Hands-on expertise with IBM Watson platform, including Watson Assistant and related AI services.
β’ Familiarity with Claude Code, GitHub Co-pilot, Open AI SDK, LangChain, LangGraph, and/or Autogen for building and deploying advanced AI agents.
β’ Experience integrating AI solutions with enterprise systems (e.g., Oracle HCM, UKG, Azure, Databricks) and managing multi-cloud environments.
AI Engineering Lead
Remote role
Cincinnati, OH
Contract
Required Skills
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field.
β’ Proven experience in leading AI agent development, with a strong understanding of agent architectures, orchestration frameworks, and industry best practices
β’ Hands-on expertise with IBM Watson platform, including Watson Assistant and related AI services.
β’ Familiarity with Claude Code, GitHub Co-pilot, Open AI SDK, LangChain, LangGraph, and/or Autogen for building and deploying advanced AI agents.
β’ Experience integrating AI solutions with enterprise systems (e.g., Oracle HCM, UKG, Azure, Databricks) and managing multi-cloud environments.






