Forward Deployed AI Engineer – Senior/Principal Level

🕒 August 4

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $198k - $247.5k / year

⏰ Full Time

🟠 Senior

🤖 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

• Develop full-stack AI/ML applications on Cloudera to demonstrate enterprise AI and agentic use cases • Work directly with strategic customer teams to advance AI and agentic use cases from prototype to production readiness • Advise customer leaders on AI roadmaps, solution design, deployment, and use cases • Standardize successful patterns into reference architectures, productized solutions, starter kits, and internal playbooks • Act as a thought leader and mentor Cloudera teams • Contribute to resources that expand Cloudera’s AI capabilities • Feed customer and channel signals back to Product teams to improve AI platforms and products

🎯 Requirements

• 7+ years of experience building and deploying production-grade systems • 2–4 years of experience building ML systems or GenAI/agentic applications • Strong software engineering, data engineering, and applied AI/ML skills • Experience building full-stack ML applications or agentic systems with modern AI frameworks and tooling • Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows • Deep understanding of LLMOps/MLOps, including evaluation, observability, serving, monitoring, and lifecycle management • Experience designing scalable AI solution architectures aligned with enterprise security, governance, and compliance standards • Ability to engage directly with technical and executive customer audiences and translate needs into technical strategy • Ability to operate autonomously in ambiguous, fast-moving customer environments • Collaborative mindset and passion for mentorship, internal enablement, or reusable tooling • BSc/MSc/PhD in a related field or equivalent experience • This role is not eligible for immigration support or relocation • Experience with AWS, Azure, or GCP is an additional qualification • Experience using the Cloudera platform is an additional qualification • Experience with Spark, Iceberg, NiFi, or similar open-source big data technologies is an additional qualification • Experience with NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads is an additional qualification

🏖️ 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 • Corporate incentive plan eligibility for non-sales roles