Forward Deployed AI Engineer, Australia (Senior/Principal Level)
Job Description
Business Area:
Corp. Strategy \n
Seniority Level:
Mid-Senior level \n
Job Description:
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About Forward Deployed Engineering (FDE) at Cloudera
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Cloudera's Forward Deployed Engineering (FDE) function sits within the Applied AI organization, and is a specialized AI/ML engineering team focused on accelerating AI adoption within our most strategic enterprise customers. We embed directly with customers to rapidly pilot AI use cases, solve real-world business challenges, and help operationalize advanced AI capabilities within enterprise environments.
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Cloudera FDEs operate at the intersection of customer engineering, AI innovation, and enterprise deployment - driving high-impact AI outcomes for customers and codifying solution patterns for repeatable delivery at scale.
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About the role
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Cloudera is looking for a seasoned full-stack ML engineer who can embed with customers to design technical use cases, and ship scalable enterprise AI/ML solutions on Cloudera.
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As a Forward Deployed AI Engineer, you will:
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Build & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases
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Partner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness
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Shape Enterprise AI Architecture - Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases
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Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
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Multiply impact - Be a thought leader, mentor Cloudera teams, and contribute to resources that grow our AI capability. Channel field and customer signal back to Product teams to improve our AI platform and products
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We are excited if you have:
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7+ years of experience building and deploying production-grade systems, including 2-4 years experience building ML systems or GenAI/agentic applications
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Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling
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Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows
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Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management
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Experience designing and implementing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance, etc.)
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The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy
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High agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments
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A collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling
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You may also have:
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Experience with cloud technologies (AWS, Azure, GCP)
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Experience using the Cloudera platform
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Experience with open source big data technologies like Spark, Iceberg, NiFi, etc
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Experience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads
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What you can expect from us:
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Generous PTO Policy
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Support work life balance with Unplugged Days
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Flexible WFH Policy
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Mental & Physical Wellness programs
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Phone and Internet Reimbursement program
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Access to Continued Career Development
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Comprehensive Benefits and Competitive Packages
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Paid Volunteer Time
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Employee Resource Groups
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EEO/VEVRAA