Senior Generative AI Engineer (Databricks Data Lake)

About Us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are seeking an experienced Senior Generative AI Engineer with a strong background in Databricks and data lake architectures. This individual will be responsible for designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions, leveraging large-scale datasets to create intelligent applications. The ideal candidate will combine deep expertise in AI / ML with proven hands-on experience in Databricks, including a solid foundation in data engineering, data lakes, and MLOps practices.

This role is immediate-hire, and preference will be given to candidates who hold Databricks certifications and can demonstrate practical expertise in real-world implementations.

The role is 100% remote.

Responsibilities

• Design and implement GenAI models (LLMs, multimodal, embeddings, and fine-tuning) for enterprise use cases.
• Architect and optimize data pipelines and workflows in Databricks for large-scale AI training and inference.
• Manage and maintain data lakes on Databricks, ensuring data quality, governance, and scalability for AI workloads.
• Collaborate with data scientists, ML engineers, and product teams to translate business problems into AI-driven solutions.
• Implement MLOps pipelines for model deployment, monitoring, and lifecycle management in Databricks.
• Explore and evaluate state-of-the-art GenAI techniques and integrate them into scalable architectures.
• Optimize performance, scalability, and cost-effectiveness of AI systems in cloud environments (AWS / Azure / GCP).
• Contribute to technical strategy, mentorship, and best practices in AI and data engineering.

Requirements