Forward Deployed AI Engineer

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $4.1M Venture Round on 2013-01

Consulting • Healthcare • Logistics

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Build & Prototype AI Apps - Develop full-stack AI applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases • Partner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness • Shape Enterprise AI Strategy - Advise customer leaders on AI roadmaps, use case prioritization, deployment considerations • Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks • Multiply impact - Mentor Cloudera teams, and contribute to resources that grow our AI capability.

🎯 Requirements

• 5+ years of experience building and deploying production-grade systems • 2-3 years experience building Generative AI or agentic applications • Strong hands-on software engineering, data engineering, and applied AI/ML skills • Experience building full-stack AI applications or agentic systems using modern AI frameworks and tooling • Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG) • Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management • Experience designing and implementing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance, etc.) • The ability to engage directly with customers, both technical and executive audiences • High agency with the ability to operate autonomously • A collaborative mindset and passion for enabling others through mentorship.

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups