Artificial Intelligence Specialist

Tata Consultancy Services; Telangana; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services is seeking an AI Architect to lead the design and deployment of Gen AI solutions across enterprise environments. The role demands 10+ years of experience, with a minimum of 5+ years in AI/Gen AI, and a strong background in scalable architectures and secure integrations.

Locations across India (Pune, Chennai, Hyderabad, Kolkata, NCR, Mumbai) preferred; expertise in Python, TensorFlow/PyTorch, and cloud AI services is essential, along with strong SDLC and DevOps

Qualifications

• 10+ years of experience with at least 5+ years in AI/Gen AI.
• Experience architecting and deploying AI/Gen AI systems in production environments.
• Design scalable, robust, and secure Gen AI solutions.
• Understanding of microservices, APIs and integration with existing systems.
• Proficiency in Python or R with libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with cloud-based AI services (AWS, Azure, GCP).
• Solid understanding of SDLC and DevOps practices.
• Excellent problem-solving skills and ability to tackle complex business challenges with AI.
• Strong communication skills and cross-functional collaboration.

Skills

Gen AI systems

LLMs

Python

Cloud AI services

SDLC

DevOps

Communication

Microservices

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Greetings from TCS!!

TCS is looking for AI Architect

JD for AI Architect

10+ years of experience (5+ years in AI/Gen AI is a must).

Locations: PAN India, preferably Pune, Chennai, Hyderabad, Kolkata, NCR, Mumbai

Required Skills:

• Proven experience in architecting and deploying AI/Gen AI systems in production environments.
• Ability to design scalable, robust, and secure solutions with a focus on Gen AI, Large Language Models (LLMs), and other advanced AI technologies.
• Understanding of microservices, APIs and integration with existing systems.
• Expertise in designing Gen AI solutions for enterprise use cases.
• Proficiency in Python or R, along with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud-based AI services (e.g., AWS, Azure, GCP) for building scalable AI solutions.
• Solid understanding of software development lifecycle (SDLC) and DevOps practices.
• Excellent problem-solving skills and the ability to tackle complex business challenges using AI technologies.
• Strong communication skills and the ability to collaborate effectively with cross‑functional teams.
• A passion for staying updated on emerging AI trends and technologies.