The AI Application Engineer role is part of the Enterprise Applications team, specializing in Oracle Cloud, EPM Cloud, Oracle Analytics Cloud (OAC), and Oracle Cloud Infrastructure (OCI), to drive adoption of advanced AI capabilities, automate business processes, and deliver intelligent solutions that enhance operational efficiencies and business value for Securitas.
Requirements
- Proficiency in programming languages such as Python (preferred), Java, or similar, with strong experience in AI/ML libraries (e.g., TensorFlow, Keras, PyTorch, scikit-learn).
- Solid understanding of machine learning concepts, generative AI, AI Agent frameworks, and statistical modeling.
- Experience with relational databases (SQL), Oracle Autonomous Database and/or NoSQL databases.
- Familiarity with RESTful APIs, web services, and microservices architecture.
- Experience with Oracle Cloud, EPM Cloud, Oracle Analytics Cloud (OAC), and Oracle Cloud Infrastructure (OCI).
- Certifications in Oracle Cloud, AI/ML or automation technologies is a plus.
- Understanding of data governance and security best practices for AI applications.
Responsibilities
- Evaluate embedded AI features within Oracle applications, customizing, and extending them to meet business requirements.
- AI Agent & Generative AI implementation: develop, customize, and deploy generative AI models and AI Agents for business process automation, data analysis, and decision support across the Oracle ecosystem.
- Monitor & Maintenance: implement monitoring strategies for AI and Automation solutions, troubleshoot issues, and continuously improve model performance and accuracy.
- Documentation: create documentation for embedded AI, generative AI, AI Agents, automation workflows and integration processes.
- Continuous Improvement: stay current with advancement in Oracle AI/ML technologies, generative AI, AI Agents, automation tools and best practices.
- Collaboration & Communication: partner with Oracle application specialists and business stakeholders to understand requirements, research AI capabilities, and present technical solutions clearly.
- Experience building Automation workflows using Oracle tools, Microsoft PowerAutomate, UIPath or similar tools.
Other
- Bachelor’s degree in computer science, artificial intelligence, software engineering, data science or an equivalent combination of education and experience. Master’s degree is a plus.
- 1+ years of experience in AI/ML, generative AI, Agentic AI and automation solution development, with a focus on Oracle Cloud platforms.
- Ability to interact professionally with a diverse group of executives, managers, and subject matter experts.
- Excellent verbal, written communication, and interpersonal skills, including experience presenting to leadership stakeholders.
- Less than 10% travel required.
