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Tier-1 brand and metro location increase competition, but seniority and niche streaming+agentic AI skills limit applicants.
Role requires niche data-platform, time-series, streaming, and agentic AI expertise, making cross-industry transfers difficult.
Explicit 10+ years plus many mandatory specialist skills (GCP, streaming, time-series, agentic AI) enforce strict filters.
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Lead the re-architecture of Ford's connected vehicle streaming data platform to enable high-throughput, low-latency, and global scale processing of vehicle data.
Provide hands-on technical leadership and mentorship to Staff and Senior Staff Engineers across an 80+ person engineering organization, driving alignment through architecture reviews and standards.
Design and implement AI-driven agentic flows and advanced data models to automate data governance, insight generation, and optimize cloud efficiency and cost for 2026 MY+ vehicle data.
10+ years professional experience in software and data engineering, specifically with large-scale streaming and distributed systems.
Experience as a Staff or Senior Staff Engineer or equivalent technical leadership role overseeing large engineering teams (50-100+).
Expert knowledge in database modeling (relational and NoSQL), time-series data modeling, and applied AI including agentic workflows using LLMs.
Proficiency in Google Cloud Platform (BigQuery, Dataflow, Vertex AI), Kafka or Pub/Sub messaging, and modern engineering practices (SDLC, MLOps, LLMOps).
Experienced in architecting complex, large-scale IoT and vehicle telemetry data platforms for global scale and regulatory compliance.
Ability to lead technical vision and hands-on implementation of AI-driven automation and intelligent data systems within large engineering organizations.
Skilled in driving cloud-native efficiency improvements and cost optimization with deep expertise in applied AI and streaming architectures.