AI Engineer – Forward Deployed Engineering (AI FDE)

Gomyneed Private Limited; Northern (KY); Hybrid; USD 153,000 - 210,000; Full time

Job summary

Databricks in the United States is hiring an AI Engineer – Forward Deployed Engineering (AI FDE), all levels, for GenAI/AI‑ML work. This full-time position focuses on building GenAI solutions and orchestrating production deployments in customer environments.

You will act as a trusted technical advisor to customers, present at conferences such as Data + AI Summit, and collaborate with product and engineering teams to influence priorities and shape the product roadmap.

Qualifications

• Experience building GenAI applications and deploying them in production.
• Hands-on data science with pandas, scikit-learn, PyTorch.

Responsibilities

• Develop GenAI solutions using latest techniques.
• Own production rollouts of GenAI applications.
• Advise customers technically across domains.
• Present at Data + AI Summit as a thought leader.
• Collaborate with product and engineering to shape roadmap.

Skills

GenAI

RAG

Multi-agent systems

Text2SQL

Fine-tuning

HuggingFace

LangChain

DSPy

Production deployments

Pandas

scikit-learn

PyTorch

AWS

Azure

GCP

Data science

Tools

HuggingFace

LangChain

DSPy

Job description

Databricks United States Full-time

Full-time AI / ML

About this role

Databricks is hiring an AI Engineer – Forward Deployed Engineering (AI FDE), all levels (United States). This is an AI / ML role listed on the official Databricks careers site.

Key Responsibilities

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit as a recognized thought leader
• Collaborate with product and engineering teams to influence priorities and shape the product roadmap

Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL and fine-tuning, with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimization
• Extensive hands-on data science experience with pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP

Salary: $152,900–$210,155 per year

Job Type: Full-time