Forward Deployed Engineer (FDE) - GenAI / Agentic AI

Tiger Analytics is looking for experiencedForward Deployed Engineerwith Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview:

We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment.

Role :

We are seeking an experienced, client-facingForward Deployed Engineer (FDE)with deep expertise in theDatabricks Data Intelligence Platformto partner closely with enterprise clients and Databricks account teams. In this role, you will embed directly into customer environments to architect, build, and deploy high-impact data engineering, analytics, and AI/GenAI solutions—turning complex, ambiguous business problems into production-ready outcomes at speed

Responsibilities:

• Rapid Solution Prototyping & Delivery:Embed with client engineering and business stakeholders to design, build, and deploy end-to-end production solutions on Databricks within accelerated timelines.

• Lakehouse Architecture & Data Engineering:Architect scalable data pipelines usingDelta Lake,Unity Catalog, andApache Spark, handling complex cloud migrations, legacy BI modernization, and performance/cost optimization.

• AI, GenAI & Intelligent Analytics:Build and deploy enterprise AI/ML workflows, knowledge layers/ontologies, and natural-language analytics solutions usingDatabricks AI/BI Genie,Mosaic AI, RAG architectures, and Model Serving.

• Technical Leadership & Consultative Discovery:Lead architectural workshops, translate business requirements into technical roadmaps, and troubleshoot production bottlenecks alongside client teams.

• Cross-Functional Collaboration:Act as the primary technical bridge between Tiger Analytics delivery teams, client stakeholders, and Databricks field engineering teams to drive adoption and expand platform capabilities.

Requirements

• 5+ yearsof hands-on experience in Data Engineering, Applied AI/ML Engineering,
• Strong proficiency inPythonandSQL, with deep hands-on mastery ofApache Spark(performance tuning, query optimization, cluster sizing, and memory management).
• Proven experience implementingLakehouse architectures, includingDelta Lake,Unity Catalog(governance, lineage, access control), and Databricks Workflows.
• Practical experience building and deploying AI/GenAI solutions on Databricks (e.g.,Databricks AI/BI Genie,Mosaic AI, Vector Search, LLM integration, or MLflow).
• Experience migrating enterprise data workloads or modernizing legacy BI/data warehouses onto cloud platforms (AWS, Azure, or GCP).
• Exceptional communication and consultative skills, with a demonstrated track record of operating effectively in fast-paced, client-facing environments.

The FDE Mindset

• Strong customer-facing communication and sharp problem-solving instincts.
• Comfortable operating independently, navigating ambiguity, and moving fast from problem → solution → production.
• Equally at home with business and technical stakeholders.