Up Sr. software architect ai Jobs – 112 Open Jobs Today

Senior AI/ML-Generative AI
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
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- Master's degree
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Nucleus Software —Noida, Uttar Pradesh
- Java
- Bachelor's degree
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GHX —Noida, Uttar Pradesh
- Computer Science
- B.Sc
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Developer (IC)
EXL Service —Noida, Uttar Pradesh
- Full-time
- Master's degree
- AWS
- Analysis skills
Senior Full Stack Java Developer (Java | Spring Boot | React JS)
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
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9d
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ION —Noida, Uttar Pradesh
- Full-time
- Java
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11d
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Distro —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- AWS
- JavaScript
- Health insurance
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4d
Staff R&D Prototyping Engineer, Test Solutions
Synopsys —Noida, Uttar Pradesh
- C++
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- APIs
Associate Principal Engineer
Distro —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
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3d
Senior Principal Engineer
Fusionpact Career —Noida, Uttar Pradesh
- Computer Science
- Master's degree
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- Work from home
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WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
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13d
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WSP —Noida, Uttar Pradesh
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EXL Service —Noida, Uttar Pradesh
- Full-time
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2d
Technical Delivery Lead
Nwaresoft —Gautam Buddha Nagar District, Uttar Pradesh
- Full-time
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Senior UiPath Developer
Product and Technology —Noida, Uttar Pradesh
- Full-time
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ServiceNow Implementation Senior Consultant
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- DevOps
- Bachelor's degree
- JavaScript
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4d
AI/ML Instructor & Program Mentor Intern
Fusionpact Career —Noida, Uttar Pradesh
- Azure
- Computer Science
- Laboratory experience
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Senior Data Engineer
Clarivate —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- SQL
- AWS
4d

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Senior AI/ML-Generative AI

WebSenor InfoTech -
Noida, Uttar Pradesh

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Job details

Full-time

Qualifications

TensorFlow
CI/CD
Statistics
Image processing
Azure
Law
Computer Science
Kubernetes
Computer vision
DevOps
Supply chain
Git
Google Cloud Platform
Master's degree
AWS
Docker
Machine learning
Distributed systems
Continuous integration
Deep learning
Natural language processing
Agile
Data science
Keras
AI
Jenkins
Communication skills
Python
Marketing
Analytics

Full job description

Job Title: Senior AI/ML Engineer – Generative AI

Experience: 14+ Years (8–10+ Years Relevant AI/ML Experience)
Location: India (2 Positions) & USA (1 Position)
Employment Type: Full-Time

Job Summary

We are seeking an experienced Senior AI/ML Engineer to design, develop, and deploy enterprise-grade Artificial Intelligence and Machine Learning solutions with a strong focus on Generative AI. The ideal candidate will have extensive experience building scalable AI applications, deploying machine learning models into production, and leveraging Large Language Models (LLMs) to solve complex business challenges.

This role requires deep expertise in AI/ML engineering, cloud platforms, DevSecOps practices, and modern Generative AI technologies. The candidate will collaborate with cross-functional teams to build production-ready AI products that drive business value, particularly in marketing and content supply chain domains.

Key Responsibilities

Design, develop, deploy, and maintain scalable AI/ML solutions for enterprise applications.
Build production-ready Generative AI applications using Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.
Develop, deploy, and optimize machine learning models using industry-standard frameworks and best practices.
Collaborate with product managers, architects, data scientists, and engineering teams to identify and prioritize AI initiatives.
Implement AI/ML solutions across marketing, personalization, recommendation systems, and content supply chain workflows.
Apply Natural Language Processing (NLP), Natural Language Understanding (NLU), Computer Vision, Deep Learning, Automatic Speech Recognition (ASR), and semantic AI techniques to solve business problems.
Build and manage end-to-end AI/ML pipelines using MLOps and DevSecOps practices.
Develop automated CI/CD pipelines for AI model deployment and monitoring.
Work with large-scale distributed computing frameworks and cloud-native architectures.
Ensure AI solutions meet enterprise standards for scalability, security, governance, and ethical AI practices.
Continuously evaluate emerging AI technologies and recommend innovative approaches for business transformation.
Mentor engineering teams and promote AI/ML best practices across the organization.

Required Skills & Qualifications

Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
14+ years of overall experience in Software Engineering, Data Science, or Analytics.
Minimum 8 years of hands-on experience in AI/ML Engineering.
Minimum 3 years of experience working with Generative AI technologies.
Strong experience with:
OpenAI, Claude, Gemini
LangChain
AI Agents
Retrieval-Augmented Generation (RAG)
Vector Databases
Prompt Engineering
LLM Fine-tuning
Hands-on experience with ML frameworks including:
TensorFlow
PyTorch
Keras
Scikit-learn
MLflow
Strong programming experience in Python.
Experience working with cloud platforms such as AWS, Azure, and GCP.
Experience with Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines.
Strong knowledge of MLOps, DevOps, Agile methodologies, and DevSecOps.
Experience building production-grade AI/ML applications.
Expertise in Deep Learning, NLP, Computer Vision, Recommender Systems, Reinforcement Learning, and Large Language Models.
Excellent analytical, communication, and stakeholder management skills.

Preferred Qualifications

Advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
Experience working with globally distributed and cross-functional teams.
Strong understanding of Responsible AI, AI governance, ethics, and AI best practices.
Experience delivering enterprise-scale AI products from ideation to production.
Demonstrated success in building high-impact AI/ML solutions that solve real-world business problems.
Experience in marketing technology, personalization platforms, or content supply chain solutions is a plus.

Preferred Technologies

Python
OpenAI
Claude
Gemini
LangChain
AI Agents
RAG
Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus)
TensorFlow
PyTorch
Keras
Scikit-learn
MLflow
Docker
Kubernetes
Jenkins
Git
AWS
Azure
Google Cloud Platform (GCP)
DevSecOps
MLOps
CI/CD

Work Location: Hybrid remote in Noida, Uttar Pradesh

Quick apply

Refine Your Search

sr. software architect ai jobs in up

Senior AI/ML-Generative AI

Staff Systems Engineer – Cloud Infrastructure

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Associate - Business Excellence

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AI/ML Instructor & Program Mentor Intern

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