Lead Consultant, Gen AI

Résumé du poste

Lead the delivery of GenAI and Agentic AI workstreams on the Databricks platform from design through production implementation. Provide technical guidance to team members while collaborating directly with clients to clarify requirements and ensure high-quality, scalable solutions.

Détails du poste

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. 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. In the last year, Lovelytics has 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. 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 in data, ML, AI, cloud, or software engineering. Demonstrated 1-2 years 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. What We Promise You: 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 contributions are highly valued. Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

Ce que vous ferez

Lead the delivery of GenAI and Agentic AI workstreams on the Databricks platform from design through production implementation. Provide technical guidance to team members while collaborating directly with clients to clarify requirements and ensure high-quality, scalable solutions.

Exigences

Requires 3-5 years of experience in data, ML, or software engineering with 1-2 years of hands-on project experience in Generative AI. Candidates must possess strong Python skills and proficiency with the Databricks Data Intelligence Platform.

Avantages

• Mentorship opportunities • Professional development • Conference speaking opportunities • Inclusive work environment

Compétences indiquées

• Apprentissage automatique · Souhaitée
• prompt engineering · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Generative AI
• Databricks
• Python
• LLM
• RAG
• AI Agents
• Prompt Engineering
• Machine Learning
• Data Engineering
• Cloud Architecture
• Mosaic AI
• MLflow
• Unity Catalog
• Vector Search
• DSPy
• Software Engineering
• Tool Calling
• Agentic AI
• Solution Design
• Vector Database
• Synthetic Data Generation
• Generative Artificial Intelligence
• CI/CD
• Language Models
• Observability
• Workflow Management
• Cloud Migration
• LLM Application
• Git (Version Control System)
• Retrieval Augmented Generation
• Data Strategy
• Unity Engine
• Application Programming Interface (API)
• Multi-Agent Systems
• Artificial Intelligence
• Amazon Web Services
• Automation
• Microsoft Azure
• Blogger (Service)
• Business Valuation
• Cloud Computing Architecture
• Computer Science
• Consulting
• Continuous Improvement Process
• Engineering Design Process
• Development Testing
• Scalability
• Innovation
• Data Intelligence
• Python (Programming Language)

Domaines d’emploi

• Technology
• Data & Analytics
• Software
• Consulting
• Engineering
• Lead Consultant
• Generative Artificial Intelligence Engineer
• Software Developers
• Computer and Information Research Scientists