Job description

As the Engineering Manager, AI Data Platforms & Quality within the MSI organization, you will lead the team's expanded charter to build next-generation AI data products, data platforms, and data quality capabilities that enable GenAI, agentic AI, and embodied AI initiatives. You will define and drive the technical strategy for transforming enterprise, operational, and multimodal data into trusted, AI-ready assets that power intelligent applications, AI agents, analytics, and automated workflows. Experience leading solution and data engineering teams building large-scale, production-grade systems. Strong background in data engineering, distributed systems, and cloud-based data platforms. Proven experience designing and building scalable data products, data pipelines, APIs, and platform services. Experience with AI data lifecycle management, including dataset curation, validation, quality evaluation, metadata management, lineage, and governance. Strong expertise in AI Data Platforms & Engineering, including Python, SQL, Spark, Airflow, Kafka, data pipelines, distributed systems, and modern data lake/lakehouse architectures. Experience building AI Data Curation & Quality capabilities, including dataset engineering, validation frameworks, data profiling, observability, and data quality metrics. Understanding of GenAI enablement technologies, including LLM applications, RAG architectures, embeddings, and AI agent workflows. Experience with cloud and infrastructure technologies, including AWS/GCP/Azure, Kubernetes, Docker, CI/CD, and scalable production systems. Demonstrated ability to define technical strategy, drive architecture decisions, lead complex execution, and collaborate effectively across cross-functional teams. Experience building AI data platforms or infrastructure supporting LLM applications and AI products. Experience with multimodal data including text, image, video, sensor, or operational datasets. Experience building data quality frameworks, AI evaluation pipelines, or dataset management platforms. Experience translating emerging AI technologies into scalable enterprise solutions. Strong communication skills with the ability to influence technical direction across organizations.

Requirements

Must-haves

Experience leading solution and data engineering teams building large-scale, production-grade systems.
Strong background in data engineering, distributed systems, and cloud-based data platforms.
Proven experience designing and building scalable data products, data pipelines, APIs, and platform services.
Experience with AI data lifecycle management, including dataset curation, validation, quality evaluation, metadata management, lineage, and governance.
Strong expertise in AI Data Platforms & Engineering, including Python, SQL, Spark, Airflow, Kafka, data pipelines, distributed systems, and modern data lake/lakehouse architectures.
Experience building AI Data Curation & Quality capabilities, including dataset engineering, validation frameworks, data profiling, observability, and data quality metrics.
Understanding of GenAI enablement technologies, including LLM applications, RAG architectures, embeddings, and AI agent workflows.
Experience with cloud and infrastructure technologies, including AWS/GCP/Azure, Kubernetes, Docker, CI/CD, and scalable production systems.
Demonstrated ability to define technical strategy, drive architecture decisions, lead complex execution, and collaborate effectively across cross-functional teams.
Experience building AI data platforms or infrastructure supporting LLM applications and AI products.
Experience with multimodal data including text, image, video, sensor, or operational datasets.
Experience building data quality frameworks, AI evaluation pipelines, or dataset management platforms.
Experience translating emerging AI technologies into scalable enterprise solutions.
Strong communication skills with the ability to influence technical direction across organizations.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

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Platform: apple
Effort: medium