AI Data Engineering Lead/ Manager Remote

Sierra Business Solution LLC
United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Information Engineering Data Governance Data Infrastructure Graph Database Identity and Access Management Large Language Models Data Management Machine Learning Operations Artificial Intelligence Markup Language (AIML)

Job description

Design, build, govern, and evolve the single source of truth for AI initiatives in the organization

Architect the system and drive implementation

Own the data contracts for agents and AI applications

Enforce security and access governance for human and agent consumers

Continuously monitor and improve the accuracy and reliability of AI outputs

Requirements

15+ years of hands-on data engineering and architecture experience

3 5+ years building production AIML and LLM-era data infrastructure

Experience designing enterprise-scale AI data platforms

Deep expertise in Lakehouse and data mesh architectures

Hands-on experience with vector stores, semantic models, knowledge graphs, and retrieval infrastructure in production environments, » Working knowledge of LLMOps, data governance, security, and compliance in regulated industries

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:20 min

Structuring connected data using graph database architectural fundamentals

Martin O'hanlon · LIVE

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Reinventing data governance as a collaborative business foundation

Farooq Sheikh Farooq Sheikh +3 · World Congress 2025

3:43 min

Data management for stateful cloud-native workloads

Michael Cade · World Congress 2022

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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Understanding graph databases and node relationship modeling

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