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Strong Tier-1 brand and metro hybrid role, but seniority and niche AI-data platform skills lower applicant density.
Requires specialized petabyte-scale streaming, time-series modeling, and GCP AI expertise, limiting cross-industry transferability.
Explicit 10+ years and multiple mandatory cloud, streaming, and AI technical requirements indicate strict filters.
Lead the complete re-architecture of Ford’s connected vehicle streaming data platform for global scale, focusing on high-throughput and low-latency AI-driven systems.
Provide hands-on technical leadership and mentorship to Staff and Senior Staff Engineers (80+ engineers), driving architectural standards and alignment across the portfolio.
Design and implement AI Agentic flows that autonomously generate real-time insights from vehicle telemetry and optimize data collection, governance, and cloud resource efficiency.
Bachelor’s Degree in Computer Science, Data Engineering, or related field; Master’s/PhD preferred.
10+ years of professional experience in software and data engineering with large-scale streaming and distributed systems.
Proven experience as Staff or Senior Staff Engineer or equivalent providing technical leadership for large engineering teams (50-100+ engineers).
Expertise in database and time-series data modeling, Applied AI (including Agentic workflows), and Google Cloud Platform technologies (BigQuery, Dataflow, Vertex AI).
Technical leader comfortable with hands-on coding in AI-driven data architectures and complex streaming systems at petabyte scale.
Experienced in driving architectural vision and efficiency improvements with a strong focus on cost optimization and system reliability in cloud native environments.
Deep practitioner of AI agentic workflows and capable of innovating in automation of data insight generation and ingestion for large IoT datasets.