Principal AI Architect

Quest Global; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Quest Global in Bengaluru is seeking an experienced AI leader to design and oversee end-to-end AI solutions. You will drive strategies, architect scalable systems, and collaborate with data scientists and engineers to deliver impactful AI-driven outcomes.

The role requires expertise in ML frameworks, cloud deployment, and strong leadership to mentor teams in best practices and ethical AI considerations. Bengaluru-based with option for hybrid work may be available.

Qualifications

• Proficiency in Python/Java/Node.js for AI system development.
• Experience with ML frameworks and model evaluation.
• Strong understanding of data engineering and MLOps workflows.
• Experience deploying AI solutions on cloud platforms.

Responsibilities

• Design, implement, and oversee AI solutions that align with business objectives.
• Develop AI strategies and roadmaps aligned with organizational goals.
• Architect robust AI frameworks and infrastructure for scalability and performance.
• Design and implement AI/ML models, algorithms, and pipelines.
• Collaborate with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.
• Monitor and improve AI systems for accuracy and efficiency.
• Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).
• Guide cross-functional teams and mentor junior engineers in AI best practices.
• Data anonymization, secure model deployment, bias detection.

Skills

Python

Java

Node.js

TensorFlow

PyTorch

Hugging Face

Airflow

dbt

MLflow

DVC

Feature Stores

AWS

Azure

GCP

Microservices

APIs

Distributed Systems

Docker

Kubernetes

Data Anonymization

Bias Detection

Tools

TensorFlow

PyTorch

Hugging Face

Job description

Job Requirements

Key Responsibility

Responsible for designing, implementing, and overseeing AI solutions that align with business objectives

Strategic Planning: Develop AI strategies and roadmaps aligned with organizational goals.

System Design: Architect robust AI frameworks and infrastructure for scalability and performance.

Model Development: Design and implement AI/ML models, algorithms, and pipelines.

Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.

Optimization & Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency.

Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).

Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices

Security & Compliance: Data anonymization, secure model deployment, bias detection

Work Experience

Mandatory Skills

• Programming Languages: Python, Java, or Node.js for AI system development.
• Machine Learning & Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability.
• Data Engineering & MLOps: ETL tools (Airflow, dbt), CI/CD for ML (MLflow, DVC), feature stores.
• Cloud Platforms: AWS, Azure, or GCP for AI deployment and scalability.
• System Design & Architecture: Knowledge of microservices, APIs, distributed systems, and containerization (Docker, Kubernetes).
• Security & Compliance: Data anonymization, secure model deployment, bias detection