Introduction
If you’re passionate about Artificial Intelligence (AI) and dream of designing systems that can transform industries, the AI Solution Designer – Shamgar Software Solutions Internship 2025 is your gateway to the future.
This internship, available through the National Internship Portal (aicteinternship.in), offers aspiring AI professionals the opportunity to bridge the gap between business strategy and AI technology. It’s more than just a training program—it’s a launchpad for those who want to become creators of intelligent solutions that solve real-world challenges.
With a blend of structured training, hands-on projects, and industry mentorship, this program prepares students to take on roles such as AI Consultant, Machine Learning Architect, or AI Product Strategist.
About Shamgar Software Solutions
Shamgar Software Solutions is a technology-driven company specializing in AI, automation, and digital transformation. With innovation at its core, Shamgar builds cutting-edge products and platforms that empower businesses to operate intelligently and efficiently.
The company focuses on developing solutions that integrate AI, data science, and cloud technologies across industries such as healthcare, finance, education, and manufacturing.
By joining Shamgar as an intern, you’ll be part of a visionary organization that values creativity, collaboration, and ethical AI design.
Internship Summary
| Parameter | Details |
|---|---|
| Position | AI Solution Designer |
| Organization | Shamgar Software Solutions |
| Platform | National Internship Portal – aicteinternship.in |
| Type | Full-Time Internship |
| Start Date | Immediately |
| Duration | 6 Months |
| Stipend | ₹10,000/month (post-training phase) |
| Location | Pan India |
| Apply By | 21 December 2025 |
| No. of Openings | 30 |
| Mode of Work | Online/Remote (Flexible) |
Program Objectives
The AI Solution Designer Internship aims to:
- Equip learners with AI architecture design skills and practical understanding.
- Introduce solution design thinking — identifying real-world business problems and mapping them to AI capabilities.
- Foster ethical, transparent, and responsible AI development practices.
- Enable participants to create AI Design Documents (AIDDs) and system blueprints.
- Bridge the skill gap between academic learning and professional AI implementation.
Key Learning Areas
Interns will explore multiple facets of AI system design, including:
- AI Architecture Fundamentals – Understand data pipelines, model training environments, and deployment strategies.
- Solution Design Thinking – Learn how to map business challenges to suitable AI capabilities.
- AI Technologies Overview – Gain exposure to tools such as TensorFlow, PyTorch, Google Vertex AI, AWS SageMaker, and Azure AI Studio.
- Ethical AI Design – Explore fairness, transparency, and data governance principles.
- Documentation and Reporting – Learn to communicate complex AI systems effectively to non-technical stakeholders.
Internship Structure
Phase 1: Training Phase (Initial 2 Months)
The internship begins with a structured training program designed to build foundational and applied knowledge in AI solution design.
Training Components
- 15 Hours of Live Training Sessions: Interactive classes by industry mentors covering AI fundamentals, system architecture, and real-world case studies.
- 45 Hours of Guided Task Practice: Hands-on assignments, self-paced exercises, and design simulations to apply learned concepts.
- Assessment & Evaluation: Interns must pass a final assessment to demonstrate readiness for project participation.
Note: The training phase is non-stipendiary (unpaid). However, it ensures a strong technical foundation for the next stage.
Phase 2: Project Phase (Next 4 Months)
Interns who successfully complete the training and assessment move to the project phase, where they work on real or internal projects under expert supervision.
Project Highlights
- Live AI Projects: Solve real-world problems in domains like healthcare, finance, and education.
- AI Architecture Design: Draft end-to-end AI blueprints involving data acquisition, model integration, and API-based service design.
- Ethical Implementation: Design solutions that prioritize fairness, explainability, and data protection.
Example Capstone Projects
By the final phase, interns will work on capstone projects that demonstrate their ability to design intelligent solutions. Example projects include:
- Predictive Analytics for Student Performance
- AI-Driven Customer Service Chatbots
- Fraud Detection Using Machine Learning
- AI-Based Resume Screening Systems
- Intelligent Workflow Automation for Small Businesses
These projects encourage creativity, problem-solving, and innovation while simulating real-world challenges that AI professionals face.
Roles and Responsibilities
During the AI Solution Designer Internship, participants will:
- Analyze Business Needs: Identify areas where AI can optimize processes or add value.
- Design AI Solutions: Create architecture blueprints detailing system components, model integration, and deployment paths.
- Research Technologies: Evaluate emerging AI frameworks and tools.
- Collaborate with Teams: Work with developers, data scientists, and stakeholders to ensure project alignment.
- Document Designs: Prepare AI Solution Design Documents (AIDDs) and presentations.
- Ensure Ethical Practices: Address fairness, bias, and privacy in AI solutions.
Who Can Apply?
According to the National Internship Portal (aicteinternship.in) listing, this program is open to:
- Students or professionals from any academic discipline.
- Candidates passionate about AI, solution design, and innovation.
- Individuals available for a 6-month full-time internship.
- Learners interested in pursuing careers as AI Architects or Consultants.
This inclusivity allows participants from both technical and non-technical backgrounds to explore AI’s strategic applications.
Stipend and Incentives
- Training Phase (First 2 Months): Non-stipendiary (no payment).
- Project Phase (Next 4 Months): Eligible interns will receive a ₹10,000/month stipend, based on performance and project engagement.
- Additional performance-based incentives may be offered depending on contribution and deliverables.
Certification and Career Outcomes
Certificates Offered
Interns who complete both phases successfully will receive:
- Certified AI Solution Designer (Level 1): Awarded upon passing training and assessment.
- Project Completion Certificate: Granted after successful delivery of assigned projects.
These certificates add significant value to a résumé, especially for roles in AI consulting, architecture, and solution design.
Career Pathways
After completing the internship, participants will be ready to explore positions such as:
- AI Solution Designer
- Machine Learning Architect
- AI Consultant
- AI Product Strategist
- Data Innovation Specialist
This internship provides a strong portfolio and practical exposure to make candidates stand out in AI-driven job markets.
Tools and Technologies Covered
Interns will be introduced to key AI development tools and cloud platforms, including:
- TensorFlow and PyTorch for deep learning frameworks.
- Google Vertex AI and AWS SageMaker for cloud-based model deployment.
- Azure AI Studio for solution prototyping.
- Python and API-based design for model integration.
Understanding these technologies conceptually allows interns to design systems compatible with modern AI infrastructure.
Ethical AI and Responsible Design
One of the most valuable lessons of this internship is learning how to design AI systems responsibly. Interns will explore:
- AI Bias and Fairness: Ensuring systems make unbiased, equitable decisions.
- Data Privacy and Governance: Maintaining compliance with data protection laws.
- Transparency and Explainability: Making AI outcomes understandable to users and stakeholders.
- Sustainability: Designing systems that align with long-term organizational and social goals.
These principles prepare interns to become responsible AI professionals committed to ethical innovation.
Code of Conduct and Engagement Commitment
Interns are expected to:
- Attend all training sessions punctually.
- Complete assigned tasks and projects on time.
- Maintain professional discipline and consistent communication.
- Submit periodic reports and participate in review sessions.
- Avoid plagiarism or misuse of data.
Any violation of company or ethical guidelines may result in termination of engagement.
Application Process via National Internship Portal (aicteinternship.in)
To apply for the AI Solution Designer – Shamgar Software Solutions Internship 2025, follow these steps:
Step 1: Visit the Official Portal
Go to the National Internship Portal (aicteinternship.in).
Step 2: Search for the Internship
Enter “AI Solution Designer – Shamgar Software Solutions” in the search bar.
Step 3: Review the Details
Read the complete program overview, terms, and eligibility criteria.
Step 4: Register and Apply
- Sign up or log in using your credentials.
- Fill out the application form with accurate academic details.
- Upload your latest résumé and submit.
Step 5: Wait for Communication
Shortlisted candidates will be contacted for the next steps, which may include an online assessment or interview.
Application Deadline: 21 December 2025
With only 30 openings, early applicants have a higher chance of selection.
Why Choose This Internship?
Here’s why the AI Solution Designer Internship 2025 via National Internship Portal (aicteinternship.in) stands out:
- Industry-Recognized Certification
- Hands-On AI Solution Design Projects
- Structured Learning and Mentorship
- Ethical AI Emphasis
- Performance-Based Stipend
- Career Readiness for Emerging AI Roles
This internship is not just a course—it’s an experience that empowers you to think strategically, design responsibly, and lead in the era of intelligent innovation.
Conclusion
The AI Solution Designer – Shamgar Software Solutions Internship 2025, listed on the National Internship Portal (aicteinternship.in), is a career-defining opportunity for learners eager to enter the AI ecosystem.
By combining structured training, real-world projects, and professional mentorship, the program equips participants to design AI solutions that are not only intelligent but also ethical and impactful.
If you aspire to be an AI Solution Designer or Machine Learning Architect, this internship is your stepping stone toward the future of intelligent innovation.
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