AI Engineer - FDE (Forward Deployed Engineer)
Forward Deployed AI Engineer building and productionizing customer GenAI applications (RAG, agents, fine-tuning) using Databricks platform. Serves as trusted advisor, influences product roadmap, and presents as thought leader. Requires strong production ML/GenAI experience plus graduate degree.
About the job
Impact
- 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; recognized as a thought leader internally and externally.
- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.
Requirements
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (pandas, scikit-learn, PyTorch, etc.).
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
- Passion for collaboration, life-long learning, and driving business value through AI.
- Willing to travel once every 4-8 weeks to see customers (as needed).
Nice-to-Haves
- Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.
Skills
Generative AI, RAG, LangChain, Hugging Face, Dspy, PyTorch, pandas, scikit-learn, AWS, Azure, GCP, Spark, Llmops
Similar jobs
Solutions Architecture jobs
GitLab
United StatesLeads customer migrations from self-managed GitLab to isolated GitLab Dedicated environments, using GitLab Geo, Kubernetes, cloud infrastructure, networking, and infrastructure-as-code practices. The role combines hands-on technical delivery, customer communication, project ownership, and migration automation.
Databricks
United States
Senior Solutions Engineer focused on leading customer discovery, designing data and AI architectures, and delivering Databricks proofs of concept and demonstrations. Requires at least four years of relevant experience, strong Python and SQL skills, public-cloud expertise, and customer-facing technical leadership.
Ramp
San Francisco, CAPartners with channel organizations and accounting firms to design SaaS solutions, demonstrate accounting capabilities, and architect API integrations. Requires 6+ years in customer-facing solutions or architecture roles, strong finance-workflow expertise, and a bachelor's degree.
Sardine
United StatesLeads client onboarding and integrations for fraud and compliance products, translating technical requirements into scalable solutions and managing implementation projects. Requires 7+ years of relevant hands-on experience, B2B SaaS domain expertise, and proficiency with APIs, SQL, JSON, and scripting.
Dataiku
United States
Provides strategic customers with technical architecture guidance, hands-on implementation support, troubleshooting, and platform optimization for Dataiku deployments. The role requires 7+ years in customer-facing technical work and expertise across Linux, cloud platforms, Kubernetes, authentication systems, and data-processing ecosystems.