> Markdown version of [/jobs/ext/2985671-ai-bi-tech-lead](https://www.wearedevelopers.com/jobs/ext/2985671-ai-bi-tech-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/BI Tech Lead - **Company:** Everforth Apex - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Data Architecture, Snowflake, Data Layers, Databricks - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/e393854e-f068-40ec-a954-238e1d20d34e ## About the Role * Strong AWS experience required * Quick Suite / QuickSight experience highly desirable * Broader AWS analytics ecosystem knowledge preferred Databricks Strong hands-on experience with: * Databricks AI/BI * Genie * Genie Rooms * Semantic layer concepts * Unity Catalog * Lakehouse architecture * Medallion architecture (Bronze/Silver/Gold) * Databricks governance and platform design Additional Technologies * Snowflake experience is a plus ## Description * Evaluate whether a solution is better suited for AWS versus Databricks. * Understand architectural tradeoffs and clearly communicate recommendations. * Design and implement AI/BI solutions. * Make informed decisions around: + Unity Catalog usage + Bronze/Silver/Gold architecture + Semantic layers + Agent selection and platform choices * Serve as a technical advisor who can explain both options and tradeoffs to stakeholders. ## Related Videos - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)