AI Engineer

🔥 0 minutes ago

🇦🇺 Australia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 applications on Cloudera to demonstrate how AI and agentic systems solve enterprise use cases • Work directly with strategic customer teams to move AI and agentic use cases from prototype toward production readiness • Advise customer leaders on AI roadmaps, use-case prioritization, deployment considerations, and business alignment • Standardize successful solution patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks • Mentor Cloudera teams and contribute to resources that expand AI capabilities • Channel field and customer feedback to Product teams to improve AI platforms and products

🎯 Requirements

• 5+ years of experience building and deploying production-grade systems • 2–3 years of 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), and agentic workflows • 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, including security, governance, and compliance • Ability to engage directly with technical and executive customer audiences and translate needs into actionable technical strategy • Ability to operate autonomously in ambiguous, fast-moving customer environments • Collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling • Experience with cloud technologies such as AWS, Azure, or GCP (additional) • Experience using the Cloudera platform (additional) • Experience with open source big data technologies such as Spark, Iceberg, or NiFi (additional) • Experience with AI infrastructure and runtime technologies, including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads (additional)

🏖️ Benefits

• Generous PTO Policy • Unplugged Days supporting work-life balance • 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