🕒 4 days ago
As a Data & AI Engineer, you will build and operate data platforms and AI-powered applications on AWS, leveraging Java and Python to enhance guest engagement through reliable analytics and automation.
Forward Deployed AI Engineer (Senior/Principal)
🔥 22 hours ago
AI ApplicationsGenerative AIAgentic SystemsSoftware Engineering
📜 Description
- Build and prototype full-stack AI applications to address real enterprise use cases.
- Collaborate with customer teams to advance AI initiatives from prototype to production.
- Advise on AI roadmaps and align initiatives with business goals.
- Standardize successful patterns into repeatable architectures and solutions.
- Mentor teams and contribute to resources that enhance AI capabilities.
🛠️ Requirements
- 7+ years of experience in building and deploying production-grade systems.
- 2-3 years of experience with Generative AI or agentic applications.
- Strong software engineering and applied AI/ML skills.
- Experience with foundation models and context engineering.
- Deep understanding of LLMOps/MLOps practices.
- Ability to engage with both technical and executive audiences.
✨ Benefits
- 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
- Paid Volunteer Time
- Employee Resource Groups
Full job description
Cloudera seeks a seasoned Forward Deployed AI Engineer to drive AI adoption and develop scalable AI applications for enterprise customers.
Description
- Build and prototype full-stack AI applications to address real enterprise use cases.
- Collaborate with customer teams to advance AI initiatives from prototype to production.
- Advise on AI roadmaps and align initiatives with business goals.
- Standardize successful patterns into repeatable architectures and solutions.
- Mentor teams and contribute to resources that enhance AI capabilities.
Requirements
- 7+ years of experience in building and deploying production-grade systems.
- 2-3 years of experience with Generative AI or agentic applications.
- Strong software engineering and applied AI/ML skills.
- Experience with foundation models and context engineering.
- Deep understanding of LLMOps/MLOps practices.
- Ability to engage with both technical and executive audiences.
Benefits
- 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
- Paid Volunteer Time
- Employee Resource Groups
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