Databricks

1 month ago

Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join a customer-facing AI team delivering GenAI solutions for federal clients. You’ll own production rollouts of GenAI apps, act as a trusted technical advisor across multiple domains, and collaborate with product and engineering to shape the roadmap. The role involves on-site work in the DC metro area, with potential remote options and opportunities to present at industry conferences.

Location: Maryland, Virginia, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop cutting-edge GenAI solutions and productionize them for customer use
•Own production rollouts of GenAI applications, both consumer-facing and internal
•Serve as a trusted technical advisor to customers across diverse domains
•Present at conferences (e.g., Data + AI Summit) and represent the team as a thought leader
•Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap

Travel: Low travel

Key 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 ML tools (e.g., pandas, scikit-learn, PyTorch)
•Experience building production-grade ML deployments on AWS, Azure, or GCP
•Graduate degree in a quantitative discipline (CS, Engineering, Statistics, OR) or equivalent practical experience

Experience:GenaiLlmopsMachine learningData scienceAi deployments

Education:Master's

Skills:CommunicationCollaborationProblem-solvingCustomer-facingTeaching

Languages:English

Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCP

Eligibility

Nationality:US National

Security Clearance:Secret

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Maryland, Virginia, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop cutting-edge GenAI solutions and productionize them for customer use
•Own production rollouts of GenAI applications, both consumer-facing and internal
•Serve as a trusted technical advisor to customers across diverse domains
•Present at conferences (e.g., Data + AI Summit) and represent the team as a thought leader
•Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap

Travel: Low travel

Key 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 ML tools (e.g., pandas, scikit-learn, PyTorch)
•Experience building production-grade ML deployments on AWS, Azure, or GCP
•Graduate degree in a quantitative discipline (CS, Engineering, Statistics, OR) or equivalent practical experience

Experience:GenaiLlmopsMachine learningData scienceAi deployments

Education:Master's

Skills:CommunicationCollaborationProblem-solvingCustomer-facingTeaching

Languages:English

Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCP

Eligibility

Nationality:US National

Security Clearance:Secret

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn