Forward Deployed AI Engineer

Cloudera

AI Engineer developing full-stack AI applications to drive enterprise adoption of AI technology. Collaborating with customers to meet business goals through innovative AI solutions.

Posted 8/3/2026full-timeRemote • 🇯🇵 JapanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing full-stack AI applications and agentic systems, with a strong focus on aligning AI initiatives with business goals and mentoring teams to enhance AI capabilities.

Highest-signal resume keywords

Full-Stack AI Application DevelopmentGenerative AI Application BuildingLLMOps/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 GenerationAgentic WorkflowsScalable AI Solutions

Soft Skills

MentorshipCollaborative MindsetHigh AgencyAutonomous OperationPassion for Enabling Others

Tools & Technologies

ClouderaModern AI FrameworksAI Tooling

Industry Keywords

Production-Grade SystemsEnterprise StandardsSecurityGovernanceCompliance

About the role

Key responsibilities & impact

Develop full-stack AI applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases
Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness
Advise customer leaders on AI roadmaps, use case prioritization, deployment considerations, and align AI initiatives with business goals
Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
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), 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.)
Ability to engage directly with customers, both technical and executive audiences
High agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments
Collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling

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