Forward Deployed AI Engineer

Business Area:

Seniority Level:

Job Description: 

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.

We are 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 the Cloudera platform.

As a Forward Deployed AI Engineer you will:

• Develop full-stack AI/ML 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, solution design, deployment, and AI use cases.

• Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.

• Act as a thought leader, mentor Cloudera teams, and contribute to resources that grow our overall AI capability.

• Channel field and customer feedback back to Product teams to continuously improve our AI platform and products.

We’re excited about you if you have:

• 7+ years of experience building and deploying production-grade systems.

• 2–4 years of experience specifically focused on building ML systems or GenAI and agentic applications.

• Strong hands-on software engineering, data engineering, and applied AI/ML skills.

• Demonstrated experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling.

You may also have:

• Experience with MLOps frameworks, LLM orchestration, and modern AI stacks (e.g., LangChain, LlamaIndex, vLLM, Ray, MLflow).

• Hands-on experience with Vector Databases and Retrieval-Augmented Generation (RAG) architectures.

• Background in client-facing consulting, technical account management, or solution architecture within enterprise environments.

• Familiarity with distributed data engineering platforms (Apache Spark, Iceberg, Kubernetes).

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

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