Sr Specialist Data/AI Engineering

Job Description:

Roles and Responsibilities:

• Lead the architecture, design, and implementation of generative AI solutions using state-of-the-art machine learning and deep learning techniques.
• Architect and deploy scalable AI solutions on Azure cloud, utilizing Azure AI services, storage, and compute resources.
• Integrate generative AI models into web-based products and services, collaborating with front-end developers on JavaScript, React, or Next.js.
• Design, develop, and maintain robust RESTful APIs using FastAPI for serving AI models and integrating with web or enterprise applications.
• Design, build, and optimize AI agent workflows and applications using LangChain and LangGraph for complex, multi-step reasoning and orchestration.
• Collaborate with data scientists, engineers, and product managers to translate business requirements into robust, production-ready AI systems.
• Ensure best practices for AI model development, including data ingestion, preprocessing, model training, validation, and deployment.
• Drive adoption of MLOps and DevOps practices on Azure for continuous integration and delivery of AI models.
• Stay abreast of the latest advancements in generative AI, cloud AI services, and web frameworks; disseminate insights to the broader team.
• Champion the ethical use of AI, ensuring compliance with organizational and regulatory standards.
• Mentor junior team members and foster a culture of innovation and technical excellence.
• Communicate complex technical concepts and project outcomes to both technical and non-technical stakeholders.

Shift timing (if any):
12:30 PM to 9:30 PM IST

Location / Additional Location (if any):
Bangalore, Hyderabad

Overall Experience:
9+ years

Primary / Mandatory Skills:

• (Optional) Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 4+ years of hands-on experience in AI/ML, with a strong focus on generative AI models (GANs, VAEs, LLMs, etc.).
• Proven expertise in architecting and deploying AI solutions on Azure (Azure ML, Azure Cognitive Services, Azure Databricks, etc.).
• Hands-on experience developing and deploying RESTful APIs using FastAPI.
• Expertise in building AI agent workflows using LangChain and LangGraph.
• Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, etc.).
• Solid understanding of cloud computing concepts, security, scalability, and cost optimization on Azure.
• Experience integrating AI models into web applications; familiarity with front-end frameworks such as JavaScript, React, or Next.js.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication, documentation, and collaboration abilities.

Secondary / Desired Skills:

• Familiarity with REST APIs, microservices, and serverless architectures.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines on Azure.
• Knowledge of data visualization libraries and user experience (UX) best practices.
• Contributions to open-source AI/ML projects or research publications.
• Experience in full-stack development is a plus.

Education Qualification:
BE, BTech, MCA

Certifications (if any):
Azure AI/ML certifications (e.g., Microsoft Certified: Azure AI Engineer Associate), Python, AI/ML modeling, and relevant cloud and front-end framework certifications.

#DataEngineering

Weekly Hours:

40

Time Type:

Regular

Location:

Bangalore, India

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.