Job Description

AI Architect / Generative AI Architect - Team Lead Location:

Chennai, Tamil Nadu, India

Experience:

10 - 15 Years Overall |

5+ Years in AI/Gen AI

About the Role

We are seeking a highly experienced and visionary

AI Architect / Generative AI Architect

to lead our core AI initiatives in Chennai. This is a critical leadership and technical role responsible for defining the architecture and strategy for our next generation of AI products, particularly those utilizing

Generative AI

technologies. You will directly manage and mentor a minimum team of

seven (7)

highly skilled engineers and developers (MOQ 7).

Key ResponsibilitiesArchitectural Leadership

Design & Implement:

Architect, design, and oversee the implementation of scalable, reliable, and secure

AI/ML and Generative AI

solutions from proof-of-concept to full-scale production.

Strategy:

Define the technical roadmap, select appropriate technologies (frameworks, cloud platforms, tools), and set architectural standards for the AI vertical.

MLOps Excellence:

Establish and enforce robust

MLOps

practices for model development, training, versioning, deployment, monitoring, and continuous improvement across all projects.

Team Management & Execution

Team Lead (MOQ 7):

Serve as the technical lead and manager for a minimum team of seven, providing mentorship, guidance, and performing technical reviews to ensure timely and quality delivery.

Collaboration:

Work closely with product managers, business stakeholders, and engineering teams to translate complex business needs into clear, executable technical requirements.

Innovation:

Stay current with the rapidly evolving Generative AI landscape (LLMs, RAG, foundation models) and drive the adoption of innovative technologies.

Qualifications & Skills

Mandatory Overall Experience:

10 to 15 years of professional experience in software engineering, data science, or technology architecture.

Mandatory AI/Gen AI Experience:

A minimum of

5 years

of hands-on experience in AI and Machine Learning, with a demonstrable focus on

Generative AI

.

Technical Deep Dive:

Deep expertise in architecting solutions using Large Language Models (LLMs), fine-tuning techniques, and Retrieval-Augmented Generation (RAG) architecture.

Cloud Proficiency:

Hands-on experience with major cloud AI/ML platforms (e.g.,

AWS SageMaker, Google Vertex AI, Azure ML

).

Core Skills:

Strong proficiency in

Python

and standard data science libraries, along with solid knowledge of microservices, APIs, and system security principles.

Leadership:

Proven ability to manage, mentor, and lead technical teams effectively.
Job Type: Full-time

Pay: ?2,500,000.00 - ?5,500,000.00 per year

Work Location: In person