AI Engineer - Forward Deployed Engineer Associate Manager

This AI engineer role embeds with clients as technologist and trusted advisor, focusing on productionizing GenAI solutions on the Databricks Intelligence Platform and deploying agentic workflows at scale on cloud platforms.

Responsibilities

• Embed directly with clients as technologist and trusted advisor; partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operable in complex enterprise domains.
• Design and engineer enterprise-ready AI agents covering retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Build retrieval-augmented generation (RAG) and multi-agent systems on Databricks using Mosaic AI, Vector Search, Model Serving, and MLflow; govern data and models through Unity Catalog.
• Develop data and feature foundations on the Lakehouse (Delta Lake, DLT, Unity Catalog) that feed production AI applications.
• Tailor and deploy agentic applications across industries including finance, healthcare, and retail.
• Lead design workshops, proofs of concept, and code-with sessions with client stakeholders.
• Define and apply metrics to measure agent accuracy, latency, safety, and cost effectiveness.
• Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark.
• Integrate LLM solutions with APIs, model monitoring, and prompt management.
• Operate MLOps and LLMOps pipelines with CI/CD across the ML and LLM lifecycle.

Requirements

• Minimum 4 years of engineering experience on Databricks and large-scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog); experience building API layers that expose data and AI/ML capabilities to enterprise systems.
• Minimum 5 years of experience in Python, Java, or equivalent; comfortable with evaluation tooling, logging, monitoring, and observability.
• Minimum 1 year of experience designing and shipping agentic AI solutions in production.
• Minimum 1 year of experience shipping agentic solutions in production (agents, orchestration, context engineering, RAG, workflows) using AI platforms (OpenAI, Claude, Vertex AI, open source) and Databricks AI tooling (Mosaic AI, Vector Search, Model Serving, MLflow).
• Minimum 2 years of experience shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging; practical MLOps and LLMOps across the ML and LLM lifecycle (model training, serving, monitoring, prompt management).
• Bachelor's degree or equivalent work experience (minimum 12 years); if Associate Degree, must have minimum 6 years work experience.

Technologies

• Databricks Intelligence Platform
• Mosaic AI
• Vector Search
• Model Serving
• MLflow
• Unity Catalog
• Delta Lake
• DLT
• Apache Spark
• HuggingFace
• LangChain
• DSPy
• AWS
• Azure
• GCP
• OpenAI
• Claude
• Vertex AI
• Terraform
• Helm
• Python
• Java

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off