GlobalLogic is hiring candidates for the Technical Support Engineer- AIML role in Gurugram. The position is suitable for professionals with 1–3 years of experience in technical support, troubleshooting, or related technical fields. Candidates with knowledge of Artificial Intelligence, Machine Learning, Generative AI, LLMs, and cloud platforms can apply for this opportunity.

The role involves providing technical support to customers, troubleshooting AIML products and cloud-based solutions, resolving complex technical issues, and working with Engineering and Product teams. The position follows an on-site work model and requires candidates to be comfortable working in a 24×7 rotational shift environment.
GlobalLogic Hiring 2026
| DetailsInformation | Information |
|---|---|
| Company | GlobalLogic |
| Job Role | Technical Support Engineer- AIML |
| Job ID | IRC300786 |
| Qualification | Bachelor’s Degree in Computer Science, IT, Engineering or Related Field |
| Experience | 1–3 Years |
| Freshers Eligible | No |
| Salary | ₹6 – ₹10 LPA (Expected) |
| Job Type | Full-Time |
| Work Mode | Work From Office |
| Location | Gurugram, Haryana |
| Job Category | Engineering & Science |
| Published Date | 11 September 2026 |
| Shift | 24×7 Rotational Shifts |
| Required Skills | AIML, Technical Support, Cloud, Troubleshooting |
GlobalLogic Technical Support Engineer- AIML Job Description
GlobalLogic is looking for a skilled and customer-focused Technical Support Engineer- AIML with experience in Artificial Intelligence and Machine Learning technologies, technical support, troubleshooting, and cloud platforms.
The selected candidate will support customers in resolving complex technical issues related to AIML products, solutions, APIs, integrations, deployments, and cloud environments. The role requires strong troubleshooting and analytical abilities along with a customer-focused approach.
Candidates should have knowledge of AIML concepts, chatbots, Large Language Models, Generative AI, and cloud or hybrid cloud environments. Experience or knowledge of Google Cloud Platform (GCP) is preferred, while experience with other cloud platforms such as AWS or Microsoft Azure is also relevant.
Roles and Responsibilities
- Engage with customers through email, chat, and phone to diagnose and resolve technical issues.
- Provide technical support for AIML products, solutions, and cloud environments.
- Troubleshoot issues related to AI/ML models, Generative AI, APIs, integrations, deployments, and cloud services.
- Provide guidance for customer-specific AIML and cloud-based solutions.
- Address architectural design requirements and provide appropriate technical recommendations.
- Ensure timely responses and resolutions while meeting defined Service Level Objectives.
- Maintain high customer satisfaction by providing accurate and effective technical support.
- Use advanced troubleshooting tools and techniques to identify root causes.
- Analyze complex technical issues and reproduce problems when required.
- Conduct detailed investigations to identify underlying causes of technical issues.
- Document customer queries, technical issues, root causes, resolutions, and preventive actions.
- Collaborate with Engineering, Product, and cross-functional teams to resolve complex issues.
- Create detailed bug and issue reports for Engineering teams.
- Include problem descriptions, reproduction steps, expected and actual behavior, logs, and other relevant technical information in issue reports.
- Assist in creating technical documentation, troubleshooting guides, knowledge base articles, and standard operating procedures.
- Identify recurring issues and trends and recommend process improvements.
- Communicate technical concepts and solutions clearly to customers and internal stakeholders.
Qualifications & Skills
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
- At least 1 year of experience in technical support, troubleshooting, or a related technical field.
- Strong understanding of Artificial Intelligence and Machine Learning (AIML) concepts.
- Knowledge of Chatbots, Large Language Models (LLMs), and Generative AI.
- Experience or knowledge of Google Cloud Platform (GCP) is preferred.
- Basic understanding of cloud or hybrid cloud environments.
- Knowledge of cloud platforms such as GCP, AWS, or Microsoft Azure.
- Strong troubleshooting and analytical skills.
- Ability to diagnose and resolve complex technical issues.
- Strong customer support and customer-handling capabilities.
- Excellent verbal and written communication skills.
- Ability to understand customer concerns and handle issues professionally.
- Ability to explain technical concepts to customers with different levels of technical knowledge.
- Willingness to work from the office in a 24×7 rotational shift environment.
- Ability to work collaboratively with cross-functional teams.
- Ability to adapt to a fast-paced technical support environment.
Work Environment
This is an on-site opportunity based in Gurugram, Haryana. Candidates selected for the role will be required to work from the office and should be comfortable working in a 24×7 rotational shift environment.
GlobalLogic also highlights a collaborative working environment where employees can work with diverse teams and participate in technical and professional development programs.
Salary Details
The expected salary for the GlobalLogic Technical Support Engineer- AIML role is approximately ₹6 LPA to ₹10 LPA.
This is an expected salary range based on available salary data for GlobalLogic Technical Support Engineer and related Product Support Engineer roles in Gurgaon. Glassdoor salary data includes reported GlobalLogic Technical Support Engineer compensation of around ₹9–₹10 LPA for some employees with 1–3 years of experience in Gurgaon.
The actual compensation for this specific AIML position may vary depending on experience, skills, interview performance, and company compensation policies.
How To Apply For GlobalLogic Technical Support Engineer- AIML
- Click on the Apply Here button provided below.
- Visit the official GlobalLogic careers page.
- Search for Technical Support Engineer- AIML or use Job ID IRC300786.
- Review the eligibility criteria and job requirements carefully.
- Create an account or log in if required.
- Complete the application form with accurate information.
- Upload your updated resume and other required documents.
- Review all the details entered in the application.
- Submit your application through the GlobalLogic careers portal.
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About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a digital engineering partner that works with companies to develop digital products, platforms, and services. The company has been involved in digital engineering since 2000 and works with clients across industries including high-tech, communications, media, healthcare, retail, and telecommunications.
GlobalLogic collaborates with organizations to transform businesses and develop technology-driven products and experiences. The company also provides opportunities for professional development through communication skills training, technical training, professional certifications, and other learning programs.
The company provides employee benefits that may include medical insurance, group term life insurance, group personal accident insurance, National Pension Scheme benefits, health awareness programs, performance bonuses, and referral bonuses, subject to applicable policies.
Final Summary
GlobalLogic is hiring for the Technical Support Engineer- AIML position in Gurugram. The role requires 1–3 years of experience and is suitable for candidates with knowledge of AI/ML, Generative AI, LLMs, chatbots, cloud platforms, and technical troubleshooting.
The position is on-site and requires candidates to work in a 24×7 rotational shift environment. The job was published on 11 September 2026 and has the Job ID IRC300786.
The expected salary is approximately ₹6–₹10 LPA, based on available salary information for comparable GlobalLogic technical support roles in Gurgaon. Candidates should confirm the final compensation during the recruitment process.



