Job Description

Role Overview

We are seeking an experienced

Technical Lead - AI

to drive the design, development, and deployment of AI-driven solutions across multiple product lines. The ideal candidate will have a proven track record of supporting

AI-embedded products

, leading

Gen AI initiatives (including RAG-based solutions)

, and establishing best practices in

data pipelines, ML model lifecycle, LLMs, and MLOps

. As a Technical Lead, you will collaborate with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure the successful integration of AI capabilities into business applications.

Key Responsibilities

AI Solution Design & Delivery

Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including

Retrieval-Augmented Generation (RAG)

pipelines. Partner with product and business stakeholders to define AI strategies aligned with organizational goals.

Data & ML Pipelines

Architect and optimize

data pipelines

to ensure high-quality, scalable, and reliable input for AI/ML models. Ensure proper data governance, lineage, and monitoring practices are in place.

Model Development & Deployment

Oversee the training, fine-tuning, and deployment of

LLMs and ML models

across cloud and on-prem environments. Define strategies for model evaluation, monitoring, and continuous improvement.

MLOps & Engineering Practices

Establish

MLOps frameworks and best practices

for CI/CD of ML models, reproducibility, monitoring, and governance. Drive automation of ML workflows to enable scalable and reliable AI product delivery.

Team Leadership & Collaboration

Lead, mentor, and guide a team of AI/ML engineers and data scientists. Foster collaboration between product, data engineering, cloud, and DevOps teams.

Innovation & Thought Leadership

Stay abreast of the latest developments in

AI, LLMs, GenAI, and MLOps

, and evaluate their application to business use cases. Contribute to AI/ML architectural decisions, technology selection, and proof-of-concept projects.

Required Skills & Experience

10-14 years of overall IT experience

, with at least

5+ years in AI/ML leadership roles

. Proven track record in supporting and delivering

AI-embedded products

at scale. Hands-on experience with

Generative AI

projects, especially

RAG pipelines, embeddings, and vector databases

. Strong expertise in

Machine Learning, Deep Learning, and LLMs

(training, fine-tuning, deployment). Proficiency in

data pipelines and data engineering frameworks

(e.g., Apache Spark, Airflow, Kafka, DBT). Deep understanding of

MLOps tools and practices

(MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, etc.). Cloud-native AI deployment experience on

AWS, Azure, or GCP

. Strong programming skills in

Python

(preferred), with experience in ML/AI libraries such as

TensorFlow, PyTorch, Hugging Face, LangChain, etc.

Familiarity with

containerization and orchestration tools

(Docker, Kubernetes). Strong problem-solving, architecture, and technical leadership skills. Excellent communication and collaboration abilities to engage with technical and non-technical stakeholders.

Good to Have

Experience with

multi-modal AI applications

(text, vision, speech). Knowledge of

data privacy, compliance, and responsible AI practices

. Prior experience in scaling

AI Centers of Excellence (CoEs)

or leading AI competency development.

Education

Bachelor's/Master's degree in

Computer Science, AI/ML, Data Science, or related discipline

. Advanced certifications in

AI/ML, Cloud, or MLOps

are a plus.
Job Type: Full-time

Pay: ₹100,000.00 - ₹140,000.00 per month