AI/ML SOLUTION ARCHITECT

Vrinda International; New Delhi; In loco; INR 2.700.000 - 3.300.000; Tempo pieno

Descrizione del lavoro

Vrinda International in New Delhi seeks a seasoned AI/ML Solution Architect to design and implement end-to-end AI systems for IT services, bridging data science and production environments.

You will lead cloud-native architectures on AWS/Azure/GCP, enforce AI security, and build Python APIs for model integration, with 8–12 years of IT services experience.

You will collaborate across engineering, product, and business teams to deliver scalable, compliant AI solutions.

Competenze

• 8–12 years of IT Services experience with a focus on AI/ML.
• Proficient in cloud AI services on AWS, Azure, or GCP.
• Strong Python programming and API development skills.
• Experience in model monitoring and production optimization.
• Ability to collaborate across diverse teams and ensure ethical AI usage.
• Competitive compensation up to ₹30 LPA.

Mansioni

• Design and oversee the architecture of AI/ML solutions from conception to production.
• Establish AI security protocols and governance for data integrity and compliance.
• Architect scalable cloud-native environments on AWS, Azure, or GCP for model training and inference.
• Develop strategies for model monitoring and lifecycle management in production.
• Collaborate with engineering, product, and business teams to translate requirements into specifications.
• Build Python-based APIs and integration layers for seamless model interaction with enterprise systems.
• Champion best practices for resilient, scalable ML pipelines.

Conoscenze

Python

API development

Cloud platforms

ML/AI architecture

Model monitoring

AI security governance

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

AWS

Azure

GCP

Descrizione del lavoro

New Delhi–NCR, India | Posted on 10/16/2026

Job Description

Summary

We are seeking a seasoned AI/ML Solution Architect to lead the design and implementation of sophisticated artificial intelligence systems within the IT Services sector. This pivotal role involves orchestrating end-to-end machine learning lifecycles, ensuring robust cloud infrastructure, and driving strategic technical decisions that align with business objectives. The ideal candidate will serve as a bridge between complex data science concepts and scalable production environments, delivering secure, high-performance AI solutions that leverage cutting-edge technologies and foster cross-functional innovation.

Responsibilities

• Design and oversee the architecture of comprehensive AI and machine learning solutions from conception to production deployment.
  
• Establish and enforce AI security protocols and governance frameworks to ensure data integrity and regulatory compliance.
  
• Architect scalable cloud-native environments utilizing AWS, Azure, or GCP AI services to support high-volume model inference and training.
  
• Develop strategies for continuous model monitoring, performance optimization, and lifecycle management in live production settings.
  
• Lead cross-functional initiatives, collaborating with engineering, product, and business teams to translate requirements into technical specifications.
  
• Engineer efficient Python-based APIs and integration layers to facilitate seamless interaction between AI models and existing enterprise systems.
  
• Drive the adoption of best practices for building resilient, scalable, and maintainable machine learning pipelines.
  

Requirements

Requirements:

• Possess 8 to 12 years of professional experience within the IT Services domain, with a significant focus on AI and machine learning technologies.
  
• Proven proficiency in cloud platforms, specifically leveraging AI services across AWS, Microsoft Azure, or Google Cloud Platform.
  
• Strong command of Python programming and API development principles for model integration and service delivery.
  
• Extensive background in implementing model monitoring mechanisms and optimization techniques for production environments.
  
• Demonstrated ability to collaborate effectively across diverse teams to deliver complex technical solutions.
  
• Solid understanding of AI security standards and governance policies to mitigate risks and ensure ethical AI usage.
  
• Competitive compensation package offering up to ₹30 LPA.