Lovelytics is an Arlington-based AI-focused data and analytics consulting firm that helps enterprises design and implement Databricks-powered AI and data strategies.
<div class="content-intro"><p class="font-claude-response-body break-words whitespace-normal">Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, 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.</p> <p class="font-claude-response-body break-words whitespace-normal">Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500 clients.</p> <p class="font-claude-response-body break-words whitespace-normal">In the last year, Lovelytics as grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks' top partners.</p></div><p>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.</p> <p>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.</p> <p><br><strong>Note:</strong> This position is not eligible for work sponsorship at this time.</p> <p><strong>Primary Responsibilities:</strong></p> <ul> <li>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.</li> <li>Serve as the senior technical advisor to client stakeholders, translating business problems into scalable AI architectures and implementation roadmaps.</li> <li>Design solutions across Agentic AI, Compound AI, LLMs, evaluation, optimization, governance, observability, and production AI engineering using relevant Databricks capabilities.</li> <li>Provide technical leadership across multiple project teams, ensuring architectural quality, engineering standards, security, scalability, Unity Catalog governance, and production readiness.</li> <li>Guide and mentor Senior, Lead and Principal GenAI engineers and consultants, strengthening both GenAI and Databricks technical capabilities across the practice.</li> <li>Lead technical discovery, estimation, architecture, proposals, demos, and pre-sales activities for strategic Databricks GenAI opportunities.</li> <li>Develop reusable Databricks reference architectures, accelerators, patterns, and best practices for enterprise GenAI and Agentic AI implementations.</li> <li>Stay current on emerging Databricks AI capabilities and broader GenAI technologies, translating them into practical client solutions.</li> <li>Build strong client relationships, identify expansion opportunities, and help grow large, durable Databricks AI accounts.</li> <li>Contribute to Databricks and GenAI thought leadership through workshops, blogs, conference sessions, demos, and internal enablement.</li> </ul> <p><strong>Our Ideal Candidate's Skills and Experiences:</strong></p> <ul> <li>B.S. in Computer Science or equivalent technical field.</li> <li>10+ years of technology experience, including significant experience in data, ML, AI, or cloud architecture.</li> <li>2-3 years of meaningful hands-on GenAI/LLM experience preferred, with demonstrated production implementations.</li> <li>Proven experience as a Solution Architect, AI Architect, Lead Engineer, or equivalent technical leadership role.</li> <li>Demonstrated experience leading complex client engagements and multiple technical workstreams.</li> <li>Prior consulting or professional services experience strongly preferred.</li> <li>Experience mentoring and technically leading teams required. Formal people-management experience is valuable but not required</li> <li>Deep hands-on experience designing and delivering production GenAI and Agentic AI solutions.</li> <li>Strong understanding of LLMs, AI agents, agent orchestration, tool use, Compound AI systems, evaluation, prompt optimization, and LLMOps.</li> <li>Strong Databricks experience, including Mosaic AI capabilities, Model Serving, MLflow, Unity Catalog, Databricks Apps, Vector Search, and Lakehouse architecture.</li> <li>Ability to design secure, scalable, governed enterprise AI architectures integrating structured and unstructured data.</li> <li>Strong Python and software engineering fundamentals, including APIs, distributed systems, CI/CD, testing, and production deployment patterns.</li> <li>Experience with model evaluation, observability, guardrails, performance optimization, and cost management.</li> <li>Working knowledge of classical ML and how GenAI, ML, data engineering, and analytics fit into broader AI solutions.</li> <li>Strong client-facing consulting and executive communication skills.</li> </ul> <p><strong>Nice-to-Have Skills and Experiences:</strong></p> <ul> <li>Advanced Databricks certifications and strong familiarity with the broad