Principal Consultant, GenAI

Lovelytics • Arlington, VA

1d • $140,000 - $180,000

About The Position

Lovelytics is seeking a Principal GenAI Consultant to deliver client-facing Generative AI projects, particularly on the Databricks platform. This practitioner role focuses on taking GenAI solutions from concept through production, including RAG pipelines, LLM orchestration, vector search, AI agents, and the architectural decisions needed to make solutions scalable. The position is part of the growing AI & GenAI practice and emphasizes practical client problem-solving rather than research.

The consultant leads delivery of smaller GenAI and Agentic AI solutions, making technical decisions with oversight from Architects or Directors. The role also involves leading technical workstreams, advising clients, guiding engineers and consultants, ensuring production-ready solutions, and contributing reusable practices to the GenAI team. The position is not eligible for work sponsorship at this time.

Requirements

• Strong hands-on experience building and deploying production GenAI solutions, including LLM applications, AI agents, tool calling, orchestration, and Compound AI systems.
• Strong 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 skills, including APIs, testing, CI/CD, deployment, and integration patterns.
• Experience with GenAI evaluation, prompt engineering or optimization, guardrails, monitoring, observability, and LLMOps.
• Working knowledge of classical ML, data engineering, and analytics and how they integrate with GenAI solutions.
• Strong client-facing consulting, communication, and presentation skills.
• Strong problem-solving skills and ability to operate effectively when requirements are ambiguous or evolving.
• Demonstrated technical leadership and ability to mentor and guide Senior/Lead resources.
• Ability to explain complex technical concepts clearly to technical and business stakeholders.
• B.S. in Computer Science or an equivalent technical field.
• 5+ years in Data Analytics with significant experience in data, ML, AI, cloud, or software engineering.
• Approximately 2 years of hands-on GenAI/LLM experience, preferably including multiple production implementations.
• Proven experience leading technical workstreams or end-to-end solution delivery.

Nice To Haves

• Prior consulting or professional services experience is strongly preferred.
• Experience with multiple production GenAI/LLM implementations.
• Formal people-management experience is not required; technical leadership and mentoring experience is expected.

Responsibilities

• Lead end-to-end delivery of smaller GenAI and Agentic AI solutions on Databricks through production deployment.
• Own technical decisions for client engagements, with oversight from Architects or Directors, including decisions involving agents, LLMs, Compound AI, evaluation, governance, observability, and integration patterns.
• Lead technical workstreams and provide day-to-day technical direction to Senior/Lead Engineers and Consultants.
• Advise client stakeholders and translate business requirements into pragmatic AI solutions, clearly communicating architecture and tradeoffs.
• Ensure solutions meet standards for quality, scalability, security, maintainability, governance, and production readiness.
• Mentor junior team members and contribute reusable patterns, accelerators, and best practices to the GenAI practice.

Benefits

• Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners.
• Opportunity to be a conference speaker, blogger, or writer.
• A diverse, inclusive team where employees' voices, ideas, and contributions are valued.
• Meaningful, cutting-edge Generative AI projects with clients across industries.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior