Forward Deployed AI Engineer

🔥 45 minutes ago

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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

• Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases • Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness • Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases • Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks • Act as a thought leader, mentor Cloudera teams, and contribute to resources that grow overall AI capability • Channel field and customer feedback back to Product teams to continuously improve the AI platform and products

🎯 Requirements

• 7+ years of experience building and deploying production-grade systems • 2–4 years of experience specifically focused on building ML systems or GenAI and agentic applications • Strong hands-on software engineering, data engineering, and applied AI/ML skills • Demonstrated experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling • Experience with MLOps frameworks, LLM orchestration, and modern AI stacks such as LangChain, LlamaIndex, vLLM, Ray, and MLflow • Hands-on experience with Vector Databases and Retrieval-Augmented Generation (RAG) architectures • Background in client-facing consulting, technical account management, or solution architecture within enterprise environments • Familiarity with distributed data engineering platforms including Apache Spark, Iceberg, and Kubernetes

🏖️ Benefits

• Generous PTO Policy • 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