AI Application Engineer

3 days ago


Parsippany, United States Securitas Full time

AI Application Engineer The AI Application Engineer is part of the Enterprise Applications team, specializing in Oracle Cloud, EPM Cloud, Oracle Analytics Cloud (OAC), and Oracle Cloud Infrastructure (OCI). The incumbent is experienced in evaluating, customizing, and implementing embedded AI, generative AI and AI Agents across the Oracle ecosystem. This role drives adoption of advanced AI capabilities, automates business processes, and delivers intelligent solutions that enhance operational efficiencies and business value. This position may be performed remotely or from our Parsippany, NJ office. Essential Functions The functions listed describe the business purpose of this job. Specific duties or tasks may vary and be documented separately. An associate might or might not be required to perform all functions listed. Additional duties may be assigned, and functions may be modified, according to business necessity. All assigned duties or tasks are deemed to be part of the essential functions, unless such duties or tasks are unrelated to the functions listed, in which case they are deemed to be other (non-essential) functions. Associates are held accountable for successful job performance. Job performance standards may be documented separately, and may include functions, objectives, duties or tasks not specifically listed herein. In performing functions, duties or tasks, associates are required to know and follow safe work practices, and to be aware of company policies and procedures related to job safety, including safety rules and regulations. Associates are required to notify superiors upon becoming aware of unsafe working conditions. All functions, duties or tasks are to be carried out in an honest, ethical and professional manner, and to be performed in conformance with applicable company policies and procedures. In the event of uncertainty or lack of knowledge of company policies and procedures, associates are required to request clarification or explanations from superiors or authorized company representatives. 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. Collaboration & Communication: partner with Oracle application specialists and business stakeholders to understand requirements, research AI capabilities, and present technical solutions clearly. 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 advancements in Oracle AI/ML technologies, generative AI, AI Agents, automation tools and best practices. Key Responsibilities Education/Experience: 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. 3+ years of experience in Oracle Cloud or other ERP/HCM systems (SAP, Workday, EBS, PeopleSoft) is a plus. 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 building Automation workflows using Oracle tools, Microsoft PowerAutomate, UIPath or similar tools. Understanding of data governance and security best practices for AI applications. Certifications in Oracle Cloud, AI/ML or automation technologies is a plus. 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. Investigative and curious mindset, with the ability to analyze large datasets and uncover actionable insights. Ability to multitask and manage multiple projects in parallel. Create and maintain strong, positive relationships with business partners across the organization. Statistical, mathematical, logical and technical competencies as evidenced by translation of findings to business impact. Strong problem-solving and critical-thinking skills. Detail-oriented, with strong time management, organization skills, and the ability to work independently and as part of a team. Carries out all responsibilities in an honest, ethical, and professional manner. Competencies (as demonstrated through experience, training, and/or testing): Working Conditions and Physical/Mental Demands With or without reasonable accommodation, requires the physical and mental capacity to perform effectively all essential functions. In addition to other demands, the demands of the job include: Maintaining composure in dealing with executives, clients, prospects, and staff, in group settings and in situations requiring high performance and results. Must undergo and meet company standards for background and reference checks, controlled substance testing, and behavioral selection survey. Handling and being exposed to sensitive and confidential information. Required ability to handle multiple tasks concurrently. Close vision, distance vision, and ability to adjust focus. Occasional local and regional/national travel for presentations, meetings, and visits. Occasional lifting and/or moving up to 10 pounds. Work primarily performed in a hybrid or remote environment. Less than 10% travel required.



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