Staff Cloud and AI Solutions Architect
Core
Design scalable cloud-native foundations for mapping data ecosystems and implement knowledge-grounded Agentic AI solutions to enhance engineering workflows.
Role type
Staff Cloud and AI Solutions Engineer (hands-on IC)
Builds
Scalable mapping data platforms, reusable cloud services, and production-ready Agentic AI workflows
Domain
Automotive mapping, software-defined vehicles, data-intensive engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud-native architecture, distributed systems, AI/LLM orchestration, infrastructure as code, data platform design, Python/Go/Java/C++, CI/CD, Kubernetes, technical leadership
Preferred skills
Automotive/ADAS/SDV domain expertise, vector databases, knowledge graphs, internal developer platforms, event-streaming technologies
Technologies
Azure, AWS, GCP, Kubernetes, Terraform, Spark, Kafka, vector databases, knowledge graphs
Responsibilities
Define target architecture for scalable mapping data foundations; build and scale reusable cloud-native services; establish data contracts and observability standards; design cloud-first solutions with IaC and CI/CD; partner with cross-functional teams to deliver integrated data solutions; identify and implement AI opportunities for engineering workflows; design operating models for smart agents; create reusable frameworks for team adoption; lead architecture discussions and mentor engineers.
Seniority
Staff, hands-on IC with broad influence