AI ML Architect at Alight | TopGenAIJobs

AI ML Architect

Alight

Noida

8-10 years

Today

₹38–63 LPA

Full-time

Onsite

Skills Required

LLM

RAG

Prompt Engineering

Gen AI

Agentic AI

LLM Security

Foundation Models

Github Copilot

Input Validation

Data Verification

Python

Apache Spark

Scala

PyTorch

TensorFlow

Description

Seeking a hands-on AI/ML Architect to design, build, and deploy scalable AI/ML solutions as an individual contributor.

Company: Alight

Role: AI ML Architect

Location: Noida, Uttar Pradesh, India

Experience:

8-10 years total experience
5+ years in AI/ML systems
5+ years in AI/Gen AI/ML projects

Key Skills:

AI/ML systems
Python
Spark (ScalaSpark or PySpark)
TensorFlow
Keras
PyTorch
Java
Spring AI
Spring Boot
AWS (SageMaker, Glue, Lambdas)
Data engineering
Feature engineering
Model evaluation
APIs
Ingestion pipelines
CI/CD pipelines (Github Actions, Gitlab, Jenkins)
Deep learning architectures (CNNs, RNNs, reinforcement learning)
Agentic AI
LLMs and foundation models
RAG
Prompt engineering
LLM security practices
Data preparation
Agile
DevOps

Qualification:

Master’s degree in Computer Science, Data Science, Math, Actuarial Science, Engineering, or related field

Role Focus:

Design, build, and deploy scalable AI/ML solutions
Write production grade code
Build models and architect ML platforms
Collaborate with cross-functional engineering, product, and domain teams
Design and develop search and chat applications using Agentic AI
Design AI paved paths for engineering organization
Experiment and evaluate machine learning model performance
Analyze and interpret experiment results to improve models
Develop and tune algorithms with stakeholders
Communicate technical ideas to non-technical audiences
Evaluate, fine-tune, and deploy LLMs and foundation models
Implement RAG, guardrails, and prompt engineering best practices
Write production quality Python code for feature engineering, model evaluation, and interface services
Build high performant ingestion pipelines
Mentor engineers on ML best practices
Collaborate on a high-performing, agile global team

Additional responsibilities:

Stay up to date with new tools and technologies and evaluate their business impact
Secure model deployment, input validation, and data verification
Work with CI/CD pipelines
Work in Agile and DevOps development processes

Other:

Competitive total rewards package
Continuing education and training
Tremendous potential with a growing worldwide organization
No use of generative AI tools during application process

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.