Mid-Senior Solutions Engineer - AI and Data Platforms

Cloudera; Georgia; Hybrid; USD 150,000 - 185,000; Full time

Benefits offered by this job

Generous PTO

Flexible WFH Policy

Wellness programs

Career development

Job summary

Cloudera is seeking a Solutions Engineer to transform customer data into actionable outcomes. You will engage in discovery, design architectures, and demonstrate real business value across AI and data platforms.

Role requires 3–5+ years in similar roles, enterprise software and Big Data experience, and strong Linux and communication skills. Flexible WFH policy and travel domestically and internationally are supported.

Qualifications

• Hands-on experience with the full lifecycle of AI models—from development to production.
• 2
• Experience with AI ecosystems (Agentic AI, Ethical AI, Generative AI tools).
• AI and/or Data Science use-case development.
• 3
• Experience as a Solutions Engineer / Pre-Sales Architect listening to customer requirements and proposing architectures.
• 3–5+ years in a similar role.
• Enterprise software and Big Data experience.
• Strong Linux skills.
• Strong written and verbal communication skills.
• Strong problem solving and analytical skills.

Responsibilities

• Provide advice in customer use cases discovery and requirements workshops.
• Troubleshoot data science workloads and propose solution architectures.
• Create and deliver customer-centric solution designs with architectures and roadmaps.
• Present roadmap, vision, and business outcomes to technical teams.
• Mentor associates and contribute to enablement materials.

Skills

AI model lifecycle

AI ecosystems

Data Science use-cases

Enterprise software

Linux skills

Analytical skills

Communication skills

Education

Bachelor’s Degree in a Technical Field

Tools

Cursor

CoPilot

Claude

Job description

Cloudera is seeking a Solutions Engineer to transform customer data into actionable outcomes. You will engage in discovery, design architectures, and demonstrate real business value across AI and data platforms.

Role requires 3–5+ years in similar roles, enterprise software and Big Data experience, and strong Linux and communication skills. Flexible WFH policy and travel domestically and internationally are supported.