Job Description:

Job Description:

• Should have Production Operations experience (specially handling production environment) 5-10 years.
• Experience on Ticketing tools like JIRA/ServiceNow/AOTS etc. is a must.
• Effective communication skills; verbal, non-verbal and written.
• Experience with Generative AI Production Support and responsible for the ongoing maintenance, monitoring, and support of generative AI systems in production.
• Provide technical support to users of generative AI systems.
• Assist with user training and onboarding for new AI tools and features
• This role ensures the stability, performance, and reliability of AI models and infrastructure, addressing any issues that arise promptly and effectively.
• Experience with monitoring tools and platforms (e.g. Grafana).
• Integrate AI models into existing systems and workflows.
• Deploy AI models on Azure cloud infrastructure.
• Automate deployment processes using CI/CD pipelines.
• Strong knowledge of Azure cloud, Open AI  and Python.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.
• Good understanding and exposure to Agile framework.

Roles and Responsibilities:

• Should be responsible to provide technical support, administrative support and troubleshoot the issues for the day-to-day operations. Should be able to resolve the technical issues to meet the SLA's.
• Should also be responsible for monitoring the systems, providing technical assistance, managing incidents, and ensuring efficient workflows.
• Providing 24×7 operational support to all production practices on holidays and weekends.
• Coordinating with various teams and raise support ticket for all issues, analyze root cause and assist in efficient resolution of all production tickets.
• Maintaining logs of all issues and ensure resolutions according to quality assurance tests for all production processes.
• Acting as the point of contact for the data warehouse production eco system
• Candidate should enhance the quality by value adds, automation, optimization etc.
• L2 support manages the tickets that L1 routes to them. This support team can also generate tickets for any problem they notice. L2 support specialists have more skills, more experience in solving complicated problems relevant to them and can help L1 support people troubleshoot problems. 

Key Competencies and Skills

• Azure, Azure AI, Python, Linux, Mango DB, Natural language processing (NLP) and large language models (LLMs),

Education and Qualifications:

• Must have bachelor’s degree or master’s degree in science / computer applications or equivalent.

#ProductEngineering

Weekly Hours:

40

Time Type:

Regular

Location:

IND:AP:Hyderabad / Atria Building, Plot 17 - Adm: Atria Building, Plot No 17

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job ID R-82597 Date posted 09/15/2025