Forward Deployed AI Engineer, Australia (Senior/Principal Level)

Cloudera; Melbourne; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Generous PTO

Unplugged Days

Flexible WFH Policy

Wellness programs

Phone and Internet Reimbursement

Continued Career Development

Comprehensive Benefits

Paid Volunteer Time

Employee Resource Groups

Job summary

Cloudera is seeking a seasoned Forward Deployed AI Engineer to embed with enterprise customers and design scalable AI/ML solutions on Cloudera. You will build full-stack AI apps and guide customers from prototype to production with a focus on agentic workflows.

Bring 7+ years of experience with ML systems, MLOps, and enterprise-grade architectures. Strong collaboration, autonomy, and willingness to mentor others are essential. Flexible WFH and strong career development are offered.

Qualifications

• 7+ years of experience building and deploying production-grade systems, including 2-4 years 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
• Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows
• Deep understanding of 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

Responsibilities

• Build & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate enterprise use cases.
• Partner with Strategic Customers - Work with customer teams to move prototypes toward production.
• Shape Enterprise AI Architecture - Advise on roadmaps, design, deployment and use cases.
• Codify Solution Patterns - Create repeatable reference architectures and starter kits.
• Multiply impact - Mentor teams and provide reusable tooling and playbooks.

Skills

Full-stack ML engineering

AI/ML skills

Prototype AI apps

Customer engagement

Mentorship & enablement

Tools

NVIDIA GPUs

Spark

Iceberg

NiFi

Job description

Job 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.

Business Area:

Corp. Strategy

Seniority Level:

Mid-Senior level

Job 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 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
• Paid Volunteer Time
• Employee Resource Groups

EEO/VEVRAA