Principal Consultant, GenAI

Job not on LinkedIn

🕒 July 27

🌽 Illinois, Virginia – Remote

🌽 Illinois – Remote ⚔️ Virginia – Remote

💵 $140k - $180k / year

⏰ Full Time

🔴 Lead

💼 Consultant

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lovelytics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 Series unknown on 2023-07

Consulting • Artificial Intelligence • Enterprise

Lovelytics is a data and AI consultancy that helps large enterprises turn data and AI initiatives into measurable business outcomes. Focused 100% on data and AI, the firm offers services including data strategy and advisory, data engineering, data governance and migrations, analytics and visualization, generative AI and ML (including LLMOps and MLOps), and cloud migration/modernization. Lovelytics works with Fortune 500 clients across industries such as energy & utilities, retail/CPG & travel, manufacturing, healthcare & life sciences, communications/media/entertainment & gaming, and financial services, and partners with major platform providers like Databricks, AWS, Microsoft Azure, Google Cloud, and Anthropic.

📋 Description

• Deliver high-impact, client-facing engagements independently while overseeing the work of junior consultants/engineers. • Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement. • Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. • Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required. • Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval. • Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences. • Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects. • Develop evaluation frameworks using MLFow, Mosaic AI Eval tools, and standard and custom metrics. • Support CI/CD and DABs for AI applications and promote code and model artifacts across environments. • Contribute to internal accelerators and reusable GenAI components as part of our growing framework library. • Work closely with senior leadership to design architecture and delivery plans tailored to client needs.

🎯 Requirements

• B.S. in Computer Science or equivalent technical field. • 5+ years of experience in Machine Learning or NLP; at least 2 years working with LLMs or Generative AI systems, preferably on Databricks. • Proficiency with open-source LLM tooling such as Hugging Face Transformers, LangChain, or similar orchestration libraries. • Strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). • Familiarity with GenAI-specific challenges including hallucination mitigation, grounding techniques, and evaluation frameworks. • Experience designing and deploying applications with security, compliance, and scalability in mind. • Excellent communication skills and a strong ability to engage with technical and business stakeholders.

🏖️ Benefits

• Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. • Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. • A culture of experimentation, innovation, and continuous improvement. • Opportunity to be a conference speaker, blogger, writer. • A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and