Forward Deployed AI Engineer, Australia (Senior / Principal Level)
At a glance
Senior Solutions & Sales Engineering role at Cloudera. Remote, Australia · full-time.
Pay not stated
Growth Roles summary, based on the employer's posting.
What you'll do
- Build full-stack AI and machine learning applications on Cloudera for enterprise use cases
- Work with customer teams to move AI and agentic concepts from prototypes toward production
- Guide customer leaders on AI roadmaps, architecture, deployment, and practical use cases
- Turn successful implementations into reference architectures, starter kits, and internal playbooks
- Share customer feedback with product teams while mentoring colleagues and expanding internal AI capability
What you bring
- At least seven years building and deploying production systems, including several years with ML, GenAI, or agentic applications
- Strong software, data engineering, and applied AI skills across full-stack ML or agentic systems
- Practical knowledge of foundation models, RAG, semantic search, fine-tuning, context engineering, and agent workflows
- Experience with LLMOps or MLOps covering evaluation, observability, serving, monitoring, and lifecycle management
- Ability to design enterprise-grade AI architectures and turn technical and executive customer needs into strategy
Who this fits
You’ll suit a senior or principal engineer who can work directly with both technical teams and executives. The role rewards autonomy, comfort with ambiguous customer environments, collaboration, and mentoring. It is remote and based in Australia.
From the employer
Business Area:
Corp. StrategySeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
About Forward Deployed Engineering (FDE) at Cloudera
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.
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.
About the role
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.
As a Forward Deployed AI Engineer, you will:
Build & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases
Partner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness
Shape Enterprise AI Architecture - Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases
Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
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
We are excited if you have:
7+ years of experience building and deploying production-grade systems, including 2-4 years experience building ML systems or GenAI/agentic applications
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
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 (security, governance, compliance, etc.)
The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy
High agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments
A collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling
You may also have:
Experience with cloud technologies (AWS, Azure, GCP)
Experience using the Cloudera platform
Experience with open source big data technologies like Spark, Iceberg, NiFi, etc
Experience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads
What you can expect from us:
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
Employee Resource Groups
EEO/VEVRAA
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