Principal Consultant, GenAI

Lovelytics is seeking a Principal Gen AI 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.

We’re looking for a GenAI Engineer who's already taken GenAI from concept to production on Databricks. Joining our GenAI practice means you’ll design and deploy solutions that work in the real world: RAG pipelines, LLM orchestration, vector search, AI agents and the architecture decisions that make all of it scale. This isn't a research role, it's for practitioners who've worked with clients, understood their problem, and built something to solve it. If you're energized by the pace of this space and want to work alongside people who take data and AI seriously, we'd love to talk.

• →Lead end-to-end delivery of smaller GenAI and Agentic AI solutions on Databricks, through production deployment.
• →With oversight of our Architects or Directors, own for client engagements, including key technical decisions across 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.
• →Serve as a trusted technical advisor to client stakeholders, translating business requirements into pragmatic AI solutions and clearly communicating architecture and tradeoffs.
• →Ensure solutions meet high 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.

• 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/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 both technical and business stakeholders.

• B.S. in Computer Science or equivalent technical field.
• 5+ years in Data Analytics with significant experience in data, ML, AI, cloud, or software engineering.
• Demonstrated ~2 years of hands-on GenAI/LLM experience, preferably including multiple production implementations.
• Proven experience leading technical workstreams or end-to-end solution delivery.
• Prior consulting or professional services experience strongly preferred.
• Formal people-management experience is not required, but technical leadership and mentoring experience is expected.

• 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.

The base salary range for this position for candidates based in the US is $140,000-180,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.

Canada candidates will be paid in CAD based on our Canada salary bands.