AI Engineer

Responsibilities

• Focus on designing and developing proof of concepts (PoCs) and demonstrating the solution to internal customers on a tight schedule.
• Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes to build PoC
• Take GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV) and work with other team members to scale the PoV to production.
• Develop documentation for each development, including testing and validation procedures/plans
• Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc.
• Work on small to medium-sized projects with minimal supervision.
• Apply Agile methodology to ensure efficient project delivery.
• Support the AI CoE in its user engagement and AI Toolkit adoption mission

Requirements

• Bachelor's or master's degree in AI, computer science, Engineering, mathematics or a related field.
• 2-4 years of experience in developing and deploying Agentic solutions to production .
• Hands-on experience developing solutions using no code/low code platforms and SDKs.
• Must be proficient in Microsoft Azure GenAI platforms (AI Foundry, Copilot Studio), Power Platform.
• Experience applying advanced AI concept such as MCP servers for connecting AI Agents to tools and.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Preferred Skills:
• Automation of complex processes using GenAI agents, especially using the Azure Foundry, Copilot Studio, Power Automate and other low code/no code platforms.
• Advanced programming with Python, SQL
• Hands-on experience with at least one of the following data storage systems: Snowflake, Azure Fabric (One Lake), and PostgreSQL
• A preferred candidate would also have experience building sites with SharePoint building automation workflows with Power Automate platform.
• Why Join Greif:
• Opportunity to work with a global leader in industrial packaging.
• Collaborative and inclusive work environment.
• Access to cutting-edge technology and innovative projects.
• Competitive salary and benefits package.
• Professional growth and development opportunities.
• At Greif , we believe that our colleagues are the center of our success. Our Total Rewards have a comprehensive focus on well-being and offer a competitive package that enables you to thrive, be engaged, and reach your full potential.
• EEO Statement:
• https://www.greif.com/wp-content/uploads/2023/04/HR-101-Equal-Employment-Opportunity-Policy-English.pdf
• For more information read

Benefits

Additional Information

Greif is a global leader in performance packaging located in 40 countries. The company delivers trusted, innovative, and tailored solutions that support some of the world's most in demand and fastest-growing industries. With a commitment to legendary customer service, operational excellence, and global sustainability, Greif packages life's essentials - and creates lasting value for its colleagues, customers, and other stakeholders. Learn more about the company's Customized Polymer , Sustainable Fiber , Durable Metal , and Integrated Solutions at www.greif.com and follow Greif on Instagram and LinkedIn. OUR VISION: Being the customer service company in the world. OUR PURPOSE: Creating packaging solutions for life's essentials. Job Requisition #: 033583 AI Engineer (Open) Job Description: Greif Packaging LLC is seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have 2-4 years of experience in developing and deploying GenAI and AI/ML solutions to production. This requires hands-on experience with no code, low code, and SDKs to build AI systems. The candidate should be proficient in working with data platforms such as Microsoft Azure, Snowflake, GenAI platform such as Azure AI Foundry, Azure OpenAI, Copilot Studio, and ChatGPT. The ability to manage small projects with minimal supervision and a working knowledge of the Agile methodology are essential. The candidate must be comfortable with ambiguity and a fast-paced PoC (Proof of Concept) delivery schedule.

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