Business Area:

Corp. StrategySeniority Level:

Director:

About the Team

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 contemporary 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

EEO/VEVRAA

📌 Forward Deployed AI Engineer (Bengaluru)
🏢 Cloudera
📍 Bengaluru