Noida Uttar Pradesh Ai/ml & generative ai Jobs – 146 Open Jobs Today

AI Solution Architect II
HCLTech —Noida, Uttar Pradesh
- Azure
- AWS
- APIs
7d
RPA Developer - Core
HCLTech —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
Sr Subject Matter Expert (Support&Ops)
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Full-time
- AI
- Leadership
- Communication skills
14d
Product Development_O & G Team
Paytm —Noida, Uttar Pradesh
- Master's degree
- Product management
- APIs
Module Lead, Data Science (LLM-as-a-judge)
BOLD LLC —Noida, Uttar Pradesh
- Master's degree
- SQL
- Machine learning
- Health insurance
- Paid time off
Senior Graphic Designer / Visualiser
Vedic Cosmeceuticals —Noida, Uttar Pradesh
- ₹40,000 - ₹45,000 a month
- Full-time
- In-person
- AI
Quick apply
Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)
Luxoft —Noida, Uttar Pradesh
- Azure
- DevOps
- English
12d
SENIOR ENGINEER
Coforge Ltd. —Greater Noida, Uttar Pradesh
- Azure
- Databases
- AWS
Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
SR Graphics Designer
Talent Vision Services —Noida, Uttar Pradesh
- ₹65,000 a month
- Full-time
- AI
Quick apply
Lead AI Engineer 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- B.Sc
Quick apply

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RPA Developer - Core
HCLTech —Noida, Uttar Pradesh
Create tool integrations that allow agents to call APIs, execute workflows, retrieve data, summarize content, classify information, generate reports, and…

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AI Solution Architect II

HCLTech -
Noida, Uttar Pradesh

Apply Now

Job details

7 days ago

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Cloud architecture
Kubernetes
Enterprise Software
OS Kernels
AWS
Docker
Continuous integration
Deep learning
Natural language processing
APIs
Scalability
Manufacturing
AI
Communication skills
Graph databases

Full job description

Noida, Uttar Pradesh
Job Summary

We are looking for an AI Enterprise Architect to lead the architecture, design, and standardization of our Physical AI platform (e.g., VisionX) and its deployment across enterprise environments. This role will define the end-to-end architecture for AI systems that operate in the physical world—combining computer vision, edge AI, IoT/OT integration, cloud services, digital twin, and agentic AI .

You will work across product engineering, platform teams, and vertical account teams to ensure our solutions are scalable, reusable, secure, and production-ready . You’ll be expected to balance innovation with operational rigor , and align architecture decisions with business outcomes and delivery realities.

Key Responsibilities

Key Responsibilities 1. Enterprise AI & Physical AI Architecture Define end-to-end architecture across: Edge AI (camera-based systems, IoT, GPU devices) Cloud AI platforms Enterprise systems integration Design architectures for: VisionX-like platforms (video analytics, safety AI, inspection) Digital twin / simulation systems (Omniverse, etc.) Establish architecture principles: modularity, reusability, scalability platform-agnostic design (avoid vendor lock-in) edge-cloud hybrid deployment 2. Generative AI & Multimodal Systems Architect solutions using: LLMs (OpenAI, Claude, Gemini, open-source) Multimodal models (text + image + video) Design: Retrieval-Augmented Generation (RAG) enterprise knowledge systems copilots and conversational interfaces Define: prompt engineering strategies grounding mechanisms evaluation frameworks 3. Agentic AI & Autonomous Systems Design agent-based systems: multi-agent orchestration task planning and execution tool/API integration Build frameworks for: autonomous workflows decision-making systems human-in-the-loop control Evaluate and integrate: LangChain, LangGraph, Semantic Kernel, custom frameworks 4. Computer Vision & Edge AI Systems Architect real-time AI systems for: object detection, tracking, activity recognition multi-camera video analytics Define edge AI strategies: on-device vs centralized inference latency and throughput optimization Design systems using: NVIDIA DeepStream, Triton, TensorRT Jetson / GPU-based edge devices 5. AI Platform, MLOps & DevOps Define platform architecture for: model lifecycle (training deployment monitoring) CI/CD for AI and edge systems Establish: model versioning and registry drift detection and feedback loops deployment automation (OTA updates for edge) 6. Data, Integration & Knowledge Systems Design unified data architecture: structured + unstructured + streamin

Skill Requirements

AI / ML Foundations

Strong expertise in:
ML, deep learning
NLP, computer vision

Hands-on with:
PyTorch / TensorFlow

Generative AI

LLMs, prompt engineering
RAG architectures
embeddings, vector DBs (FAISS, Pinecone)

Agentic AI

multi-agent systems
orchestration frameworks (LangChain, LangGraph, etc.)
tool-calling and workflow automation

Computer Vision & Edge AI

video analytics pipelines
DeepStream, Triton
TensorRT optimization
edge devices (Jetson, GPUs)

Systems & Cloud

microservices architecture
APIs, event-driven systems
Kubernetes, Docker
cloud platforms (Azure/AWS/GCP)

Data & Integration

data engineering concepts
knowledge graphs (preferred)
enterprise system integration

Architecture & Governance

enterprise architecture frameworks
security and compliance
scalability and reliability design

Preferred Skills

Digital twin / simulation (Omniverse)
IoT / OT systems (SCADA, PLCs)
Experience in manufacturing / industrial domains

Experience building enterprise AI platforms

Other Requirements

Leadership & Behavioral Competencies

Strong systems thinking and ability to simplify complexity.
Ability to balance innovation with practical delivery constraints.
Excellent communication skills—can explain architecture to engineers, business stakeholders, and customers.
Strong collaboration and influence across matrix organizations.
Ownership mindset with focus on measurable business outcomes
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ai/ml & generative ai jobs in noida uttar pradesh

AI Solution Architect II

RPA Developer - Core

Sr Subject Matter Expert (Support&Ops)

Product Development_O & G Team

Module Lead, Data Science (LLM-as-a-judge)

Senior Graphic Designer / Visualiser

Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

SENIOR ENGINEER

Senior Data Engineer

SR Graphics Designer

Lead AI Engineer 4C

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