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 Lead GenAI Consultant 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.
The Lead Consultant will play a pivotal role in delivering client engagements focused on AI Agents, Retrieval-Augmented Generation (RAG), LLM application development, prompt engineering / DSPy, GenAI-driven automation, and advanced NLP. Our ideal candidate blends technical depth with consulting acumen and thrives in a collaborative, fast-paced environment.
Note: This position is not eligible for work sponsorship at this time.
Primary Responsibilities:
Lead delivery of significant GenAI and Agentic AI workstreams on Databricks, from detailed design through production implementation.
Own technical execution for assigned solution components, including design decisions, development, testing, deployment, and operational readiness.
Provide day-to-day technical guidance to Senior Consultants and review code, architecture, and implementation quality.
Work directly with client technical teams to clarify requirements, communicate progress, resolve blockers, and explain technical tradeoffs.
Ensure solutions follow GenAI engineering standards for quality, security, evaluation, observability, scalability, and maintainability.
Contribute to technical discovery, estimates, demos, solution design, and reusable GenAI assets.
Required Skills and Experience:
Proven hands-on experience building GenAI solutions using LLMs, RAG or broader retrieval patterns, AI agents, tool calling, prompt engineering, and orchestration.
Solid Databricks experience across relevant capabilities such as Mosaic AI, Model Serving, MLflow, Unity Catalog, Vector Search, Databricks Apps, and Lakehouse architecture.
Strong Python and software engineering fundamentals, including APIs, testing, Git, CI/CD, and deployment practices.
Experience with GenAI evaluation, monitoring, guardrails, prompt optimization, and production troubleshooting.
Ability to independently design and implement moderately complex solution components using structured and unstructured data.
Working understanding of data engineering, ML, and cloud architecture concepts.
Ability to lead technical discussions, working sessions, demos, and design reviews with client engineering teams.
Ability to mentor Senior Consultants and provide constructive technical feedback.
Our Ideal Candidate's Skills and Experiences:
B.S. in Computer Science or equivalent technical field.
3-5 years of experience, with meaningful experience…