Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.
Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP.
In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle.
Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000.
Lovelytics is seeking a Generative AI Architect with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our growing AI & GenAI practice, this role offers an exciting opportunity to design and deploy state-of-the-art solutions that combine language models, vector databases, and cutting-edge orchestration frameworks.
We’re looking for a GenAI Architect who's already taken GenAI from concept to production on Databricks. Joining our GenAI practice means you’ll architect, design, and deploy solutions that work in the real world: RAG pipelines, LLM orchestration, vector search, AI agents and the architecture decisions that make all of it scale. This isn't a research role, it's for practitioners who've worked with clients, understood their problem, and built something to solve it. If you're energized by the pace of this space and want to work alongside people who take data and AI seriously, we'd love to talk.
Note: This position is not eligible for work sponsorship at this time.
Primary Responsibilities:
Own end-to-end architecture and technical strategy for complex GenAI and Agentic AI solutions on the Databricks Data Intelligence Platform, from discovery through production.
Serve as the senior technical advisor to client stakeholders, translating business problems into scalable AI architectures and implementation roadmaps.
Design solutions across Agentic AI, Compound AI, LLMs, evaluation, optimization, governance, observability, and production AI engineering using relevant Databricks capabilities.
Provide technical leadership across multiple project teams, ensuring architectural quality, engineering standards, security, scalability, Unity Catalog governance, and production readiness.
Guide and mentor Senior, Lead and Principal GenAI engineers and consultants, strengthening both GenAI and Databricks technical capabilities across the practice.
Lead technical discovery, estimation, architecture, proposals, demos, and pre-sales activities for strategic Databricks GenAI opportunities.
Develop reusable Databricks reference architectures, accelerators, patterns, and best practices for enterprise GenAI and Agentic AI implementations.
Stay current on emerging Databricks AI capabilities and broader GenAI technologies, translating them into practical client solutions.
Build strong client relationships, identify expansion opportunities, and help grow large, durable Databricks AI accounts.
Contribute to Databricks and GenAI thought leadership through workshops, blogs, conference sessions, demos, and internal enablement.
Our Ideal Candidate's Skills and Experiences:
B.S. in Computer Science or equivalent technical field.
10+ years of technology experience, including…