Teams at Ford Motor Company

Build and operate production backend services and APIs in Python for cloud-based AI integrations. Responsibilities include database and cloud-service integration, security, reliability, monitoring, testing, CI/CD, containerized deployments, infrastructure as code, production support, and collaboration with engineering and product teams.

Develop and deploy full-stack cloud and on-premises analytical solutions enhanced by generative AI, LLMs, RAG pipelines, and multi-agent systems. Responsibilities include technical architecture, frontend and backend development, AI-assisted engineering, requirements translation, API design, CI/CD, security automation, IAM, reliability engineering, incident resolution, and continuous optimization. Collaborate with product managers, designers, and engineers in an Agile environment to deliver industrial analytics products.

Designs and maintains end-to-end data solutions, including ETL/ELT pipelines, BigQuery platforms, APIs, semantic data layers, and data catalogs. Builds data quality monitoring, governance, security, and access controls while collaborating with analytics, product, engineering, and business teams. Requires strong Python, Kotlin, Java, SQL, API development, cloud data engineering, testing, and reliability experience.