Senior AI Engineer/Databricks Architect
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Role details
Tech stack
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Job description
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Design, build, and deploy AI-powered applications and agentic workflows in production.
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Develop solutions using LLMs, AI agents, orchestration frameworks, and modern AI engineering practices.
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Engage business stakeholders, translate requirements, and deliver scalable technical solutions.
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Contribute to architecture discussions, solution design, and technical roadmaps.
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Implement cloud-native development practices and maintain robust AI systems.
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Apply MLOps for deployment, monitoring, and CI/CD of AI solutions.
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Work in AI-assisted development environments with coding agents and human-in-the-loop workflows.
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Partner with product management and architecture throughout the solution lifecycle.
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Advance organizational AI transformation initiatives and standards.
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Establish and advocate engineering best practices for AI development.
Requirements
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5+ years in software, AI, or machine learning engineering.
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Proven experience deploying AI and LLM solutions to production.
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Agentic AI experience.
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Strong Databricks experience.
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Expert-level Python development.
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Hands-on work with LLMs and Generative AI.
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Experience with AI orchestration frameworks or agentic architectures.
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Cloud experience, with Azure preferred.
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MLOps, model deployment, CI/CD, and production engineering practices.
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Effective commun
Benefits & conditions
This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.
Salary: $126,000 - $188,000/ yr. w2
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