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Denodo Tech Lead Hybrid
Career Insights for Artificial Intelligence Engineer (General)
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$129,894 / year median in New Jersey
Job Description
Lead architecture and development of enterprise data products using Denodo virtualization and semantic modeling. Define and govern canonical business models, ontologies, business glossaries, and semantic layers. Establish architecture standards, naming conventions, governance frameworks, and development best practices. Provide technical leadership to Data Engineers, AI Engineers, LLMOps Engineers, and platform teams.
Denodo & Data Product Design and implement Virtual Data Products Develop complex joins, unions, aggregations, and business transformations across multiple source systems. Define reusable semantic-layer patterns that support reporting, analytics, APIs, and AI agents. Optimize Denodo performance through caching, query pushdown, aggregation strategies, and virtualization best practices.
Integration & APIs Design API-first data product architectures.
Integrate Denodo with:
o AWS services
o Analytics platforms
o Data Catalogs
o AI platforms
o Enterprise APIs Support semantic consumption for AI agents and business applications.
Integration & APIs Design API-first data product architectures.
Integrate Denodo with:
o AWS services
o Analytics platforms
o Data Catalogs
o AI platforms
o Enterprise APIs Support semantic consumption for AI agents and business applications.
Required Qualifications:
10+ years in Data Engineering, Data Architecture, or Analytics Engineering. 5+ years of Denodo implementation experience. Experience developing enterprise semantic layers and virtualized data products.
Strong knowledge of:
o Denodo
o AWS (Lambda, Glue, ETL, APIs)
o Data Modeling
o Ontologies
o Data Governance
o API Design Experience with:
o Generative AI
o Agentic AI frameworks
o LLMOps
o Strong stakeholder engagement and consulting skills.
Preferred Qualifications Experience designing AI-ready data platforms. Knowledge of AI Governance standards. Familiarity with Bedrock, OpenAI, Anthropic, Azure OpenAI, or similar platforms. Experience implementing enterprise metadata, lineage, and semantic governance frameworks.
Years of Experience:
13.00 Years of Experience