Software Engineer, AI Enablement
Job in
Dearborn, Wayne County, Michigan, 48120, USA
Listed on 2026-06-12
Listing for:
Ford Motor Company
Full Time
position Listed on 2026-06-12
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
The ideal candidate combines strong software engineering skills with practical experience applying AI techniques to solve complex information discovery, recommendation, and search. This individual will evaluate alternative technical approaches, make architecture recommendations, and deliver scalable production solutions.
Senior Software Engineer
* Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and management of enterprise ontology and metadata assets.
* Evaluate and recommend technical approaches for semantic search, knowledge management, retrieval, and recommendation challenges.
* Design and implement scalable backend services, APIs, and AI-enabled capabilities.
* Build retrieval, ranking, and recommendation systems that support intelligent user experiences.
* Collaborate with product managers, ontology experts, and domain stakeholders to translate business needs into technical solutions.
* Conduct technical evaluations and proof-of-concepts for emerging AI technologies.
* Drive architecture decisions, engineering best practices, and operational excellence.
* Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and management of enterprise ontology and metadata assets.
* Evaluate and recommend technical approaches for semantic search, knowledge management, retrieval, and recommendation challenges.
* Design and implement scalable backend services, APIs, and AI-enabled capabilities.
* Build retrieval, ranking, and recommendation systems that support intelligent user experiences.
* Collaborate with product managers, ontology experts, and domain stakeholders to translate business needs into technical solutions.
* Conduct technical evaluations and proof-of-concepts for emerging AI technologies.
* Drive architecture decisions, engineering best practices, and operational excellence.
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