Product Owner / Business Analyst for regulatory AI platform within a government initiative in Riyadh, Saudi Arabia. Ensuring clear requirements translation and stakeholder collaboration to meet regulatory needs.
About the role
- AI Architect at Ford leading innovative, scalable AI solutions across platforms. Responsible for translating business needs into robust architectures and ensuring technical excellence.
Responsibilities
- Lead the design and implementation of innovative, scalable, and secure Artificial Intelligence solutions across Ford's platforms and products.
- Design and deliver AI solution architectures (traditional, generative, and agents) that are scalable, sustainable, and aligned with the needs of Ford's products and platforms.
- Design and implement AIOps pipelines to automate training, testing, and deployment of AI models (traditional, generative, and agents).
- Lead technical infrastructure decisions, orchestrating multidisciplinary teams (product, IT, data) to ensure effective integration and operationalization of AI solutions.
- Support the selection, training, testing, and deployment of a variety of AI models, including foundation models and task-specific models.
- Define and monitor technical metrics generated by implemented AI solutions (cost, quality, and observability metrics for AI products).
- Ensure the application of security best practices (DevSecOps) and data privacy from development through production.
- Develop and maintain continuous monitoring and governance plans for AI solutions in production environments.
- Implement APIs and microservices to expose AI functionality to other Ford applications and systems.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields.
- Proven experience in architecture and engineering of AI solutions, with hands-on experience across the full development lifecycle, from design to production at scale.
- Experience with cloud platforms, especially Google Cloud Platform (GCP) and its AI services.
- Deep knowledge of traditional AI, Generative AI (GenAI), and development and implementation of Agents.
- Experience in AIOps, including building automated pipelines (CI/CD), containerization, and monitoring production models.
- Strong knowledge of AI architecture, AI governance, and privacy and security implications.
- Familiarity with AI tools and frameworks, Natural Language Processing (NLP), and computer vision.
- Ability to evaluate AI models, development, testing, and production environments, ensuring secure architectures, AI governance, and infrastructure cost optimization.
- Preferred: Basic knowledge of Salesforce AI services.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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