In preparing for your interview for the Agentic AI Engineer position, expect a variety of questions designed to assess your technical abilities, problem-solving skills, and fit within the Salesforce culture. The following categories represent common themes in interview questions, drawn from 1point3acres.com and tailored to the specific requirements of this role.

Technical / Domain Questions

These questions assess your expertise in AI, software engineering, and system architecture.

• What experience do you have with integrating large language models (LLMs) into existing systems?
• Describe how you would architect a complex agentic AI solution for a specific business problem.
• Can you explain the concepts of prompt engineering and Retrieval-Augmented Generation (RAG)?

System Design / Architecture

Focus on your ability to design scalable and efficient systems.

• How would you approach designing an agentic architecture that interacts with multiple enterprise systems?
• What considerations would you take into account for scalability and security in your designs?
• Describe a time you faced a significant technical challenge while designing a system and how you overcame it.

Behavioral / Leadership

These questions evaluate your interpersonal skills and alignment with Salesforce’s values.

• Describe a situation where you had to lead a team through a challenging project. What was your approach?
• How do you handle conflicts within a team, especially during high-pressure situations?
• Share an example of a time you had to persuade stakeholders to adopt your technical solution.

Problem Solving / Case Studies

Expect real-world scenarios that require creative and analytical thinking.

• Given a hypothetical customer scenario, how would you identify their key needs and translate them into a technical solution?
• Walk us through your thought process in troubleshooting a failed deployment of an agentic solution.

Coding / Algorithms

You may be asked to demonstrate your coding skills directly.

• Write a function in Python that optimizes a specific process in an AI workflow.
• How do you ensure the quality and reliability of your code through automated testing?

This visual timeline provides a snapshot of the interview stages, helping you manage your preparation and energy effectively. Pay attention to the balance between technical and behavioral interviews, as both are crucial in evaluating your overall fit for the role.

Deep Dive into Evaluation Areas

As an Agentic AI Engineer, you will be assessed across several key evaluation areas that are critical to your success in the role. Understanding these areas will help you prepare effectively for your interviews.

Technical Proficiency

Technical proficiency is fundamental for this role. Interviewers will evaluate your understanding of AI frameworks, programming languages, and system architecture. Strong performance includes:

• Demonstrating experience with large language models and AI orchestration frameworks.
• Articulating your approach to integrating AI solutions into existing enterprise systems.
• Providing examples of past projects that showcase your technical skills and innovations.

Example questions:

• How have you used machine learning to solve business problems?
• Describe your experience with Salesforce products and how you have customized them for client needs.

Problem-Solving Skills

Your ability to approach complex challenges creatively will be a focal point in interviews. Strong candidates will:

• Break down ambiguous problems into manageable components.
• Propose innovative solutions that leverage both technology and business insights.
• Share examples where you successfully navigated unforeseen challenges.

Example scenarios:

• Given a complex customer requirement, how would you prioritize features for an agentic solution?
• Describe a time when you had to pivot your approach due to shifting customer needs.

Collaboration and Leadership

Collaboration is key in Salesforce's work environment. Interviewers will assess how you interact with peers and stakeholders. To demonstrate strength in this area, you should:

• Share experiences where you led cross-functional teams.
• Discuss how you cultivate relationships with stakeholders to drive project success.
• Highlight moments where you influenced decisions through effective communication.

Example questions:

• Can you provide an example of a successful collaborative project and your role in it?
• How do you ensure that all team members are aligned on project goals?

Innovation and Continuous Learning

Salesforce values candidates who are committed to innovation and continuous improvement. Strong performance involves:

• Staying abreast of the latest trends in AI and software development.
• Demonstrating how you integrate new knowledge into your work.
• Providing examples of how you have contributed to innovation in previous roles.

Advanced concepts:

• Experience contributing to open-source AI initiatives.
• Knowledge of emerging AI technologies and their potential impact on business.