Forward Deployed AI Engineer

Cloudera

AI Engineer developing full-stack enterprise-quality AI applications at Cloudera. Partnering with strategic customers to drive AI adoption and shape enterprise strategies.

Posted 8/3/2026full-timeRemote • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying full-stack AI applications, with a strong focus on Generative AI and agentic systems. Proven ability to engage with customers and shape enterprise AI strategies while mentoring teams to enhance AI capabilities.

Highest-signal resume keywords

Full-Stack AI Application DevelopmentGenerative AI ExperienceLLMOps/MLOps PracticesAI Solution Architecture DesignCustomer Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringApplied AI/ML SkillsFoundation ModelsContext EngineeringFine-TuningSemantic SearchRetrieval-Augmented Generation (RAG)Scalable AI SolutionsProduction-Grade Systems

Soft Skills

MentorshipCollaborative MindsetHigh AgencyAutonomous Operation

Tools & Technologies

ClouderaAI FrameworksModern AI Tooling

Industry Keywords

Enterprise AI StrategyUse Case PrioritizationDeployment ConsiderationsSecurityGovernanceCompliance

About the role

Key responsibilities & impact

Build & Prototype AI Apps - Develop full-stack AI 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 Strategy - Advise customer leaders on AI roadmaps, use case prioritization, deployment considerations
Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
Multiply impact - Mentor Cloudera teams, and contribute to resources that grow our AI capability.

Requirements

What you’ll need

5+ years of experience building and deploying production-grade systems
2-3 years 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)
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
High agency with the ability to operate autonomously
A collaborative mindset and passion for enabling others through mentorship.

Benefits

Comp & perks

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