Forward Deployed AI Engineer

About the role

Cloudera is looking for a seasoned hands-on AI engineer who can embed with customers, shape technical direction, and ship elegant, scalable, enterprise-quality AI applications.

This role is not eligible for immigration support or relocation.

Responsibilities

• 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, and align AI initiatives with business goals
• 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. Channel field and customer signal back to Product teams to improve our AI platform and products

Requirements

• 5+ years of experience building and deploying production-grade systems, including 2-3 years experience building Generative AI or agentic applications
• Strong hands-on software engineering, data engineering, and applied AI/ML skills, with 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.)
• The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy
• A 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

Qualifications

• 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