Lead Consultant, Gen AI

🕒 July 27

🌽 Illinois, Virginia – Remote

🌽 Illinois – Remote ⚔️ Virginia – Remote

💵 $112k - $160k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 24%

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

• 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

🎯 Requirements

• 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, including 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 • B.S. in Computer Science or equivalent technical field • 3-5 years of experience in data, ML, AI, cloud, or software engineering • 1-2 years of hands-on GenAI/LLM project experience, preferably including production implementations • Experience owning technical workstreams or major solution components • Consulting or professional services experience preferred • Databricks certifications and broader familiarity with the Databricks Data Intelligence Platform • Experience with DSPy, automated prompt optimization, fine-tuning, synthetic data generation, or advanced evaluation approaches • Experience with Agentic AI, multi-agent systems, MCP, human-in-the-loop workflows, or advanced orchestration • Position is not eligible for work sponsorship at this time

🏖️ 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 where your voice, ideas, and contributions are highly valued • Equal opportunity employer and commitment to fair application processes • Pay equity and transparency in compensation practices