Solutions Engineer

Business Area:

Seniority Level:

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Cloudera is currently seeking a customer-facing, hands-on technologist with a strong track record of success to join our team in one of Cloudera’s fastest-growing and most strategic markets.

This is an exciting opportunity to help enterprise organizations unlock the power of data and AI using Cloudera’s modern open data lakehouse, streaming, and machine learning platform.

As a Solutions Engineer at Cloudera, your mission is to remove technical barriers and accelerate adoption of Cloudera’s data and AI platform. You’ll partner with customers to architect enterprise-scale solutions that span data ingestion, transformation, governance, and machine learning — including emerging use cases around Generative AI.

This is not a PowerPoint-only role. You’ll be a practitioner-architect working directly with enterprise data teams, ML engineers, and IT architects to design and implement real-world solutions, including MLOps pipelines, AI/ML workflows, and production-grade GenAI use cases.

As a Solutions Engineer you will:

• Collaborate with customers, partners, and prospects to understand business and technical requirements, and design data and AI solutions using Cloudera technologies.

• Architect end-to-end machine learning pipelines from data ingestion to model deployment and monitoring.

• Lead technical conversations around MLOps, data science workflows, and GenAI integration with enterprise platforms.

• Own the technical sales process from introduction through post-sales success, including expansion and renewal.

• Deliver demos, whiteboarding sessions, and proof-of-concepts that showcase real-world value.

• Evangelize Cloudera’s AI and data platform vision to data scientists, ML engineers, and business stakeholders.

• Work closely with Account Executives to drive customer success and strategic growth.

• Collaborate cross-functionally with Product, R&D, Marketing, and Customer Success teams.

We’re excited about you if you have:

• Minimum 5 years of experience in a customer-facing technical role.

• A Bachelor’s degree or higher in Computer Science, Engineering, or a related field.

• Strong hands-on experience as an AI/ML practitioner — including model development, deployment, and lifecycle management.

• Proven ability to design and deploy MLOps pipelines (training, CI/CD, monitoring, retraining).

• Experience working with GenAI models and frameworks (e.g., LLM orchestration, prompt engineering, RAG pipelines).

• Excellent communication skills with the ability to explain technical AI concepts to both technical and business audiences.

• Fluent in English (spoken and written).

• Due to the nature of the job, only Singapore Citizens and Singapore Permanent Residents (PRs) will be considered for this position.

• Solid understanding of machine learning, MLOps, and data science best practices

• Experience with frameworks such as MLflow, Kubeflow, Airflow, or Cloudera AI

• Hands-on with Python, Jupyter Notebooks, and popular ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)

• Familiarity with GenAI toolkits (e.g., LangChain, LlamaIndex, Hugging Face Transformers)

• Experience with cloud-based AI workloads on AWS, Azure, or GCP

• Knowledge of data engineering and pipeline orchestration tools: Spark, Kafka, Flink, Hive, Impala

• Strong Unix/Linux background and basic understanding of DevOps and containerization (Docker, Kubernetes)

• Experience building or deploying Generative AI applications (e.g., chatbots, document summarization, code generation)

• Knowledge of RAG (Retrieval Augmented Generation) and LLM fine-tuning techniques

• Experience with Cloudera or similar enterprise data stacks

• Public cloud certifications (AWS, Azure, GCP) or Cloudera certifications

• Familiarity with security, governance, and data lineage tools and practices

• Previous experience with enterprise data platforms such as Databricks, Snowflake, or Confluent

At Cloudera, we empower the world's largest organizations to drive innovation with data and AI. As a Solutions Engineer in Singapore, you will play a key role in helping enterprises build the next generation of intelligent data platforms. If you're passionate about AI/ML, hands-on problem solving, and helping customers succeed — we’d love to hear from you.

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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