Director AIML engineering DPE
Director AIML engineering DPE
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Job Description
At Ford data is fuel for our transformationand artificial intelligence is the engine powering it forward. Within the Enterprise Data Platforms organization we are building intelligent systems that make trusted data accessible insightful and actionable for every team across the company.
We are seeking a visionary Director of Engineering for AI Enablement to lead the charge in building platforms and tools that democratize data through cuttingedge AI capabilities. This role is laserfocused on enabling datatoinsight journeys for nontechnical usersbringing innovations like multiagent AI systems natural language interfaces and contextaware data exploration to life.
Unlike traditional ML platform roles this is not about training models for the enterpriseits about operationalizing AI within the data platform to make data understandable discoverable and usable by all.
Responsibilities
- Reimagine Data Access: Lead the engineering of AIpowered features that allow users to talk to their data via intelligent agents and natural language interfaces.
- Empower Every Ford Team: Build systems that transform structured and unstructured enterprise data into insightsremoving barriers for nontechnical teams across domains like product development marketing supply chain and more.
- Lead with Technical Depth: Guide a highperforming team of engineers in building scalable secure and intelligent platform capabilities that redefine how data is consumed across the company.
- Leverage MultiAgent AI Systems: Design and operationalize collaborative agents that can interpret user questions identify relevant datasets generate analysis and surface insightsall within Fords secure enterprise environment.
- Collaborate with Purpose: Partner across the data platform ecosystemdata governance metadata provisioning quality and access controlto deliver seamless AIenabled experiences that are aligned with Fords enterprise standards and strategy.
Innovate Responsibly: Ensure ethical explainable and biasaware AI solutions that align with regulatory and privacy requirements
Qualifications
- 10 years of engineering experience including 5 years building data or AIcentric platforms and solutions at scale.
- Deep expertise in building largescale distributed systems APIdriven architectures and cloudnative platforms (GCP preferred).
- Handson experience with LLMs vector databases agent frameworks (e.g. LangChain Haystack Semantic Kernel) and orchestration engines.
- Proven ability to lead and grow highperforming engineering teams with a strong focus on impact velocity and quality.
- Strong product mindsetyou can work closely with product managers and user researchers to create features people love and need.
- Passion for data accessibility digital equity and usercentric platform design.
Experience in a regulated enterprisegrade environment with an understanding of security compliance and governance.
Data democratization is no longer optionalits missioncritical. As Director of Engineering youll lead the next wave of innovation in how Fords workforce interacts with data. Your team will build intuitive intelligent experiences that eliminate technical barriers and deliver insights at the speed of curiosity.
This is your opportunity to define the future of AI on the platformnot as a standalone service but as a transformative capability woven into the fabric of how we work.
Required Experience:
Director
Employment Type
Full-Time
