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# Lead Data & AI Engineer

- **Company:** Conexus, LLC
- **Location:** East Brunswick, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, BigQuery, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Warehousing, Python (Programming Language), Machine Learning, Microsoft Dynamics, Power BI, Standard Sql, Salesforce.Com, SAP (Applications), Tableau (Software), Enterprise Data Management, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Microsoft Fabric, Data Lakes, Data Management, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.thejobnetwork.com/job/4c4ac013-6aab-4649-9bcc-752c2a44a082/lead-data-ai-engineer

## About the Role

* 8+ years of experience in data engineering, data architecture, analytics, AI/ML engineering, or a related discipline.
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 * Strong hands-on experience designing and building enterprise data platforms, data lakes, data warehouses, and scalable data pipelines.
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 * Experience with one or more major cloud platforms: Azure, AWS, or GCP.
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 * Strong SQL and Python development skills.
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 * Practical experience developing and deploying AI/ML solutions, including generative AI, LLMs, RAG, predictive modeling, and AI-powered automation.
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 * Experience with modern data and analytics technologies such as Snowflake, Databricks, Microsoft Fabric, BigQuery, Power BI, Tableau, or similar platforms.
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 * Experience integrating data from enterprise applications such as SAP, Microsoft Dynamics, Salesforce, and other ERP/CRM systems.
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 * Understanding of data governance, data quality, master data management, and enterprise data security.
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 * Ability to work directly with business stakeholders, understand operational challenges, and translate requirements into technical solutions.
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## Description

We are seeking a Lead Data & AI Engineer to design, build, and advance enterprise data and AI capabilities across a global organization. This role will play a key part in developing a modern, cloud-based data platform and implementing practical AI solutions that improve business intelligence, operational efficiency, and decision-making across the organization.

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The ideal candidate is a hands-on technical leader who can move between data architecture, engineering, analytics, and applied AI, translating business needs into scalable technical solutions.