Senior Solutions Architect – AI

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

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

• Drive the technical lifecycle for key accounts, ensuring deep adoption of the Cloudera Data Services platform and the realization of business outcomes. • Design, implement, and oversee production-ready data architectures and AI/ML frameworks for high-volume, mission-critical workloads. • Bridge the gap between AI theory and production by deploying MLOps workflows, LLM integrations, and Agentic AI within complex live environments. • Provide expert-level troubleshooting for complex technical hurdles while providing guidance to customer teams on best practices. • Act as a conduit between the field and the lab, translating real-world production challenges into actionable feedback for Cloudera’s Engineering and Product teams. • Represent Cloudera as a thought leader, sharing advanced architectural insights through blogs, industry events, and internal knowledge repositories.

🎯 Requirements

• 12+ years in technical solutions architecture, with a proven track record of delivering enterprise-scale systems. • 7+ years of hands-on experience with Kubernetes (OpenShift, Rancher, or Docker) in high-availability production environments. • Extensive experience operationalizing AI/ML solutions, including MLOps, Deep Learning, and Generative AI (LangChain, HuggingFace, CrewAI). • Expert-level knowledge of Linux/RHEL and major cloud providers (AWS, Azure, or GCP), including GPU-accelerated computing (NVIDIA). • Strong proficiency in Python, Go, or Java for building utilities and automating data services. • Deep understanding of the technical and regulatory landscape in FSI, Retail, or Public Sectors. • Exceptional communication skills, with the ability to lead architectural reviews for both technical engineers and senior executive stakeholders.

🏖️ 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