AI Use Case Prototyping Intern

📍 Job Overview

Job Title: AI Use Case Prototyping Intern

Company: Unisys

Location: Bangalore, Karnataka, India

Job Type: Full-time Internship

Category: AI/ML & Data Operations

Date Posted: 2026-08-14

Experience Level: Entry-level (0-2 years)

Remote Status: On-site

🚀 Role Summary

• Focus on developing and testing Proofs of Concept (PoCs) for enterprise-level Artificial Intelligence (AI) use cases, specifically within areas like incident management and service desk automation.

• Design and implement sophisticated agentic workflows, involving task chaining, reasoning steps, and automated triggers to enhance operational efficiency.

• Utilize prompt tuning techniques to evaluate AI model outputs and systematically improve response quality and accuracy.

• Collaborate closely with engineering teams by documenting prototypes and ensuring a smooth transition for further development and deployment.

• Analyze system logs and identify patterns to contribute to the improvement and predictive capabilities of AI models.

📝 Enhancement Note: This role is an internship focused on practical application of AI in enterprise operations. While not strictly a "Revenue Operations" or "Sales Operations" role, the skills developed in AI use case prototyping, workflow automation, and data analysis are highly transferable and valuable for future operations roles, particularly those involving AI-driven process optimization and automation. The emphasis on "enterprise AI use cases" suggests a focus on business process improvement rather than pure R&D.

📈 Primary Responsibilities

• Build and test Proofs of Concept (PoCs) for enterprise AI applications, such as automating incident management workflows and enhancing service desk operations.

• Create and refine agentic workflows, incorporating task chaining, logical reasoning steps, and automation triggers to streamline business processes.

• Evaluate the quality of AI-generated outputs and implement prompt tuning strategies to optimize response accuracy and relevance.

• Prepare detailed documentation of AI prototypes for seamless handover and integration by engineering teams.

• Analyze system logs and operational data to identify trends and patterns that inform the enhancement of AI prediction models.

• Assist in troubleshooting and debugging AI prototypes and workflows.

• Contribute to the overall project coordination and progress tracking for AI initiatives.

• Conduct research and compile information to support reports and presentations on AI use case development.

📝 Enhancement Note: The responsibilities indicate a hands-on role focused on the practical implementation and refinement of AI solutions within a corporate environment. This goes beyond theoretical AI and delves into operationalizing AI for specific business functions, aligning with the growing trend of AI in GTM and operational efficiency.

🎓 Skills & Qualifications

Education: Currently pursuing a B.Tech degree in Computer Science, Information Science, or Artificial Intelligence/Machine Learning.

Experience: Generally, less than 1 year of experience in a relevant technical or analytical area.

Required Skills:

• Foundational understanding of Artificial Intelligence (AI) concepts and applications.

• Experience or strong interest in Prototyping AI use cases.

• Familiarity with Software Development principles and practices.

• Basic Data Analysis skills, including data collection and cleaning.

• Understanding of Agentic Workflows and their application.

• Exposure to Prompt Tuning techniques for AI model refinement.

• Knowledge of Automation principles and tools.

• Basic Scripting or programming skills (e.g., Python).

• Familiarity with Version Control systems (e.g., Git).

• Understanding of Secure Coding practices.

• Ability to create basic reports and visualizations (e.g., using Excel or PowerPoint).

• Interest in Technical Support and troubleshooting.

• General Project Coordination and tracking aptitude. Preferred Skills:

• Experience with data visualization tools beyond basic Excel/PowerPoint.

• Familiarity with cloud infrastructure concepts (e.g., AWS, Azure, GCP).

• Basic understanding of CI/CD pipelines.

• Experience analyzing system logs for patterns and insights.

• Exposure to AI/ML frameworks and libraries.

• Familiarity with IT Service Management (ITSM) concepts.

📝 Enhancement Note: The combination of B.Tech in CS/IS/AIML and the specific AI prototyping responsibilities strongly suggests an emphasis on analytical and technical problem-solving skills. The "less than 1 year of experience" points to this being an entry-level or intern position where foundational knowledge and a strong learning aptitude are key.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase projects demonstrating the development and testing of AI use cases, even if academic or personal.

• Include examples of workflow design and automation, highlighting efficiency improvements.

• Present any experience with data analysis and visualization, demonstrating the ability to derive insights.

• Demonstrate understanding of system logic and how to document processes for technical teams. Process Documentation:

• Evidence of documenting technical processes, workflows, or project steps clearly and concisely.

• Examples of how you have approached problem-solving and outlined steps for resolution.

• Any experience with creating user guides or technical documentation for prototypes or tools.

📝 Enhancement Note: While specific portfolio requirements are not detailed for an internship, candidates are strongly advised to prepare examples of academic projects, personal coding projects, or any coursework that demonstrates their aptitude in the required skills. For AI/ML roles, showcasing any work with data, algorithms, or prototype development is crucial.

💵 Compensation & Benefits

Salary Range: As this is an internship position, compensation will be provided in line with industry standards for AI/ML interns in Bangalore, India. Typically, this can range from ₹15,000 to ₹30,000 per month, depending on the specific program and duration.

Benefits:

• Hands-on experience in cutting-edge AI technologies and enterprise applications.

• Opportunity to work on real-world AI use cases with potential for significant business impact.

• Mentorship from experienced AI professionals and engineers at Unisys.

• Exposure to a corporate IT environment and professional development practices.

• Potential for networking within the technology sector.

• Learning opportunities in areas like prompt tuning, agentic workflows, and automation.

Working Hours: Standard full-time internship hours, typically 40 hours per week, with potential for some flexibility depending on project needs and team schedules.

📝 Enhancement Note: Salary for internships is highly variable and often depends on the company's intern program structure. The estimate is based on common internship compensation for technical roles in Bangalore. Benefits are focused on learning and development, which is typical for intern positions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology Services and Consulting. Unisys provides a range of IT services, including digital workplace solutions, cloud and infrastructure, and enterprise computing solutions.

Company Size: Unisys is a large enterprise, typically employing thousands of individuals globally. This means interns will be part of a structured organization with established processes.

Founded: Unisys was founded in 1986 through the merger of Burroughs Corporation and Sperry. This long history indicates stability and a deep understanding of the IT industry.

Team Structure:

• The intern will likely be part of a dedicated AI, Innovation, or Engineering team focused on developing and implementing new technologies.

• The team structure will involve experienced engineers, AI specialists, and potentially project managers.

• Cross-functional collaboration is expected, especially with teams that will eventually utilize or integrate the developed AI prototypes (e.g., IT Operations, Service Desk). Methodology:

• Emphasis on data-driven decision-making and rigorous testing of AI solutions.

• Adoption of agile methodologies for project development and rapid prototyping.

• Focus on iterative improvement, using feedback and data analysis to refine AI models and workflows.

• Commitment to documentation and knowledge transfer to ensure scalability and maintainability of developed solutions.

Company Website: https://www.unisys.com/

📝 Enhancement Note: Unisys, as a large, established IT services company, likely fosters a culture of professionalism, structured development, and a focus on delivering tangible business outcomes. For an intern, this means clear guidance and opportunities to learn established corporate processes.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level internship, providing foundational experience in AI application within an enterprise context. It serves as a stepping stone into technical roles within IT operations, software development, or data science.

Reporting Structure: The intern will report to a designated mentor or supervisor within the AI/Engineering team, who will guide their work and provide feedback.

Operations Impact: While the direct impact is on developing prototypes, the success of these prototypes can lead to significant improvements in operational efficiency, cost reduction, and enhanced service delivery for Unisys or its clients.

Growth Opportunities:

• Deepen expertise in AI/ML technologies, particularly in areas like generative AI, prompt engineering, and workflow automation.

• Develop practical skills in software development, data analysis, and technical documentation within a professional setting.

• Gain exposure to enterprise-level IT operations and project management methodologies.

• Potential for future full-time opportunities at Unisys based on performance and business needs.

• Networking opportunities with industry professionals and potential future colleagues.

📝 Enhancement Note: This internship is designed to provide a strong learning foundation. Success here can directly translate into opportunities for further specialization in AI-driven operations or related technical fields within Unisys or the broader tech industry.

🌐 Work Environment

Office Type: On-site at Unisys's RGA Tech Park facility in Bangalore. This suggests a professional office environment conducive to collaboration and focused work.

Office Location(s): Bangalore, Karnataka, India. This location is a major tech hub in India, offering access to a vibrant ecosystem of technology companies and talent.

Workspace Context:

• Access to modern office facilities and potentially specialized hardware or software for AI development.

• Opportunities for in-person collaboration with team members, fostering a dynamic learning environment.

• Exposure to the day-to-day operations of a large IT services company.

• Likely access to company-provided tools and resources for project work.

Work Schedule: Typically, a standard 5-day work week with defined office hours, aligning with the full-time internship designation.

📝 Enhancement Note: The on-site requirement in a major tech hub like Bangalore indicates an immersive work experience, allowing for direct mentorship and integration into the team's daily operations.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and academic background to assess qualifications.

• Technical Assessment: May involve coding challenges, problem-solving exercises related to AI/ML concepts, data analysis, or scripting.

• Behavioral/Situational Interview: To assess problem-solving approach, communication skills, teamwork aptitude, and cultural fit.

• Manager/Mentor Interview: Discussion about specific project interests, learning goals, and how the candidate aligns with the team's objectives.

• Portfolio Review (if applicable): Discussion of any relevant projects or coursework presented in their application.

Portfolio Review Tips:

• Highlight any academic projects, personal coding projects, or contributions to open-source initiatives that demonstrate your skills in AI, data analysis, scripting, or workflow automation.

• For each project, clearly articulate the problem you were solving, the technologies/methods you used, and the outcome or lessons learned.

• Be prepared to discuss your thought process and technical decisions.

• If you have experience with prompt tuning or agentic workflows, make sure to showcase it, even if from a learning perspective. Challenge Preparation:

• Brush up on fundamental AI/ML concepts, data structures, algorithms, and programming (especially Python).

• Practice coding problems, focusing on logic and efficiency.

• Familiarize yourself with concepts like prompt engineering, workflow automation, and basic data analysis.

• Prepare to discuss your motivation for pursuing an AI internship and your career aspirations.

📝 Enhancement Note: For an internship, the focus will be on potential and demonstrated aptitude rather than extensive professional experience. A well-presented portfolio of academic or personal projects is crucial.

🛠 Tools & Technology Stack

Primary Tools:

• AI/ML Frameworks: Likely exposure to popular libraries such as TensorFlow, PyTorch, or scikit-learn.

• Programming Languages: Python is almost certainly the primary language for AI development, scripting, and data analysis.

• Version Control: Git, used with platforms like GitHub, GitLab, or Bitbucket.

• Prototyping Tools: Potentially specific AI development platforms or custom internal tools.

Analytics & Reporting:

• Data Analysis Libraries: Pandas, NumPy for data manipulation and analysis.

• Visualization Tools: Matplotlib, Seaborn, or potentially BI tools like Tableau or Power BI if integrated into the workflow.

• Spreadsheet Software: Microsoft Excel for basic data handling and reporting.

CRM & Automation:

• Scripting for Automation: Python scripts to automate tasks.

• CI/CD Tools: Familiarity with tools like Jenkins or GitLab CI for automated deployment pipelines (preferred skill).

• Cloud Platforms: Exposure to cloud services like AWS, Azure, or GCP (preferred skill).

📝 Enhancement Note: The specific tools will vary, but a strong foundation in Python, AI/ML libraries, and Git is essential. The mention of "system logs" and "prediction models" implies a need for data processing and analytical tool proficiency.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to explore and implement new AI technologies to solve business problems.

• Collaboration: Working effectively within a team and with other departments to achieve shared goals.

• Continuous Learning: Commitment to staying updated with the rapidly evolving field of AI.

• Problem-Solving: A proactive and analytical approach to identifying and resolving technical challenges.

• Efficiency: Focus on developing solutions that streamline processes and improve operational outcomes.

Collaboration Style:

• Open communication and knowledge sharing within the AI/Engineering team.

• Cross-functional interaction with stakeholders to understand requirements and gather feedback.

• A supportive environment where interns are encouraged to ask questions and contribute ideas.

• Emphasis on iterative development and constructive feedback loops.

📝 Enhancement Note: Unisys, as a large tech company, likely values a professional, results-oriented, and collaborative culture. For an intern, this translates to a structured yet supportive environment where learning and contribution are encouraged.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Field: Keeping pace with the fast-changing landscape of AI research and development.

• Translating Concepts to Practice: Bridging the gap between theoretical AI knowledge and practical enterprise application.

• Data Quality and Availability: Working with potentially imperfect or limited datasets for model training and testing.

• Integration Complexity: Ensuring prototypes can be effectively integrated into existing enterprise systems.

Learning & Development Opportunities:

• AI Specialization: Gaining in-depth knowledge in specific AI domains like NLP, computer vision, or generative AI.

• Technical Skill Enhancement: Improving proficiency in Python, AI frameworks, and cloud technologies.

• Professional Development: Learning about corporate project management, documentation standards, and professional communication.

• Mentorship: Receiving guidance from experienced AI professionals on technical challenges and career paths.

📝 Enhancement Note: The challenges are inherent to working with cutting-edge technology in a corporate setting. The growth opportunities are substantial for an intern eager to learn and apply AI in a business context.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex technical problem you've encountered (academic or personal) and how you approached solving it. What was the outcome?"

• "How would you approach building a prototype for an AI use case that automates a repetitive task in a business process?"

• "Explain the concept of prompt tuning and how it can be used to improve AI model performance."

• "How do you ensure the quality and accuracy of outputs from an AI model?" Company & Culture Questions:

• "What interests you about AI and its application at Unisys?"

• "How do you stay updated with the latest advancements in AI?"

• "Describe a time you worked effectively in a team or collaborated on a project."

• "What are your career aspirations after completing this internship?" Portfolio Presentation Strategy:

• Be ready to walk through one or two key projects from your portfolio.

• Clearly explain the problem, your solution (including technical details), and the results or lessons learned.

• If discussing AI prototypes, be prepared to explain the AI concepts involved and your specific contributions.

• Demonstrate enthusiasm and a strong desire to learn.

📝 Enhancement Note: Prepare to discuss your projects in detail, focusing on your thought process, technical choices, and the impact of your work, even if it's from an academic context.

📌 Application Steps

To apply for this AI Use Case Prototyping Intern position:

• Submit your application through the Unisys careers portal via the provided URL.

• Tailor your resume: Highlight relevant coursework (CS, IS, AI/ML), academic projects, and any personal coding projects that demonstrate your skills in AI, data analysis, scripting, or automation. Use keywords from the job description.

• Prepare your portfolio: Gather examples of your work, such as code repositories (GitHub), project write-ups, or presentations. Be ready to discuss these during an interview.

• Research Unisys: Understand their business, services, and how AI might fit into their overall strategy. This will help you tailor your answers and show genuine interest.

• Practice interview questions: Prepare for technical and behavioral questions, focusing on demonstrating your problem-solving skills, technical aptitude, and eagerness to learn.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.