Applied AI Engineer - Architect
Description For Applied AI Engineer - Architect
The Applied AI team at Oracle is seeking an experienced AI Engineer to join their cutting-edge team developing AI solutions. This role focuses on pushing the boundaries of machine learning, AI agents, and agentic workflows for Enterprise customers. The position involves working with advanced technologies including Retrieval-Augmented Generation (RAG), Langchain, and Oracle Vector Database.
As an Applied AI Engineer - Architect, you'll be responsible for designing and implementing scalable AI solutions that solve real-world problems. The role requires expertise in machine learning, AI agents, and large-scale deployments. You'll work with modern frameworks and tools while collaborating with cross-functional teams to deliver production-ready AI applications.
The ideal candidate brings 10+ years of experience, strong expertise in Python, ML/AI libraries, and deep understanding of AI architectures. Knowledge of Oracle's ecosystem is a plus. This position offers competitive compensation ($161,700 - $338,500) and comprehensive benefits including medical, 401(k), and flexible vacation.
Join Oracle's world-leading cloud solutions team where innovation meets real-world impact. You'll be part of a diverse workforce tackling tomorrow's technology challenges while enjoying work-life balance and professional growth opportunities.
Responsibilities For Applied AI Engineer - Architect
- Design, develop, and deploy AI-driven applications using advanced Machine Learning and Agentic Workflows
- Implement Retrieval-Augmented Generation (RAG) architectures and AI Agents for intelligent automation
- Utilize frameworks like Crew.ai, Langchain, Langgraph to build scalable AI solutions
- Work with Oracle Vector Database and other retrieval systems to optimize AI performance
- Optimize ML models and AI workflows for real-world applications
- Collaborate with cross-functional teams to integrate AI solutions into products
Requirements For Applied AI Engineer - Architect
- Strong expertise in Machine Learning, Algorithms, and AI
- Deep understanding of Agentic Workflows, AI Agents, and RAG architectures
- Experience with Crew.ai, Langchain, and similar AI development frameworks
- Knowledge of vector databases, particularly Oracle Vector Database
- Experience deploying AI applications in hyperscalers (AWS, Azure, GCP, OCI)
- Strong problem-solving skills
- Proficiency in Python and ML/AI libraries
Benefits For Applied AI Engineer - Architect
- Medical, dental, and vision insurance
- Short term and long term disability
- Life insurance and AD&D
- Health care and dependent care Flexible Spending Accounts
- 401(k) Savings and Investment Plan with company match
- Flexible Vacation
- 11 paid holidays
- 72 hours paid sick leave
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
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