Title : Data & AI Solutions Consultant (Databricks)
Experience :: 12+ years required
Job Description:
Core skills needed ::
12+ years of full-stack engineering experience with a demonstrated ability to design, build, and scale production-grade applications.
10+ years of experience delivering customer-facing technology solutions in consulting, product engineering, or enterprise environments.
Proven track record of leading end-to-end solution delivery, from architecture and development through deployment and operational support.
Hands-on experience building scalable data pipelines, APIs, microservices, and modern web applications.
Experience designing and implementing AI-powered applications using Large Language Models (LLMs), including integration with platforms such as OpenAI, Anthropic, and Google Gemini.
Strong understanding of Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, model evaluation, and enterprise AI application patterns.
Proficiency with AI-assisted software development tools, including GitHub Copilot and other developer productivity platforms.
Hands-on experience developing and deploying cloud-native solutions on AWS, Azure, or Google Cloud Platform.
Experience implementing CI/CD pipelines, automated testing, infrastructure-as-code, and production deployment best practices.
Strong understanding of application security, observability, monitoring, and operational excellence in enterprise environments.
Databricks Data Engineer Professional certification preferred; hands-on Databricks experience is highly desirable.