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Lead Consultant, Gen AI

2 months ago
United States
Full-time
Mid Level
Consultant
Operations
AWS Azure CI/CD Databricks GCP Generative AI Git LLM Machine Learning MLflow NLP Python
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Lovelytics

Lovelytics

Lovelytics specializes in providing data, analytics, and AI consulting services, focusing on accelerating, optimizing, and modernizing clients' data and AI ecosystems to drive impactful business outcomes.

Professional Services
51-250
Founded 2017
View All Jobs 4

Description

  • Lead delivery of significant GenAI and Agentic AI workstreams on Databricks from detailed design through production implementation.
  • Own technical execution for 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 with client technical teams to clarify requirements, communicate progress, resolve blockers, and explain technical tradeoffs.
  • Ensure solutions meet standards for quality, security, evaluation, observability, scalability, and maintainability.
  • Contribute to technical discovery, estimates, demos, solution design, and reusable GenAI assets.
  • Design and deploy solutions that combine language models, vector databases, and orchestration frameworks.
  • Support client engagements focused on AI agents, RAG, LLM application development, prompt engineering, GenAI automation, and advanced NLP.

Requirements

  • Not eligible for work sponsorship at this time.
  • 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.
  • Proven experience building GenAI solutions using LLMs, RAG, AI agents, tool calling, prompt engineering, and orchestration.
  • Strong Databricks experience with 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.
  • Consulting or professional services experience preferred.
  • Databricks certifications and broader familiarity with the Databricks Data Intelligence Platform preferred.
  • Experience with DSPy, automated prompt optimization, fine-tuning, synthetic data generation, or advanced evaluation approaches preferred.
  • Experience with Agentic AI, multi-agent systems, MCP, human-in-the-loop workflows, or advanced orchestration preferred.

Benefits

  • Base salary range of $112,000-160,000 per year.
  • Meaningful, cutting-edge Generative AI projects with clients ranging from Fortune 100 firms to disruptive startups.
  • Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners.
  • Culture of experimentation, innovation, and continuous improvement.
  • Opportunity to be a conference speaker, blogger, or writer.
  • Diverse, inclusive team where ideas and contributions are highly valued.
  • Equal Opportunity Employer commitment to fair and unbiased hiring.
  • Commitment to pay equity and compensation transparency.

Interested in this position?

Apply directly on the company website

Apply Now

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