Up Ai agentic automation platform engineer Jobs – 80 Open Jobs Today

AI Solution Architect II
HCLTech —Noida, Uttar Pradesh
- Azure
- AWS
- APIs
9d
Regional AI & Data Hub Manager
Bureau Veritas —Noida, Uttar Pradesh
- Full-time
- English
- Travel
- AI
4d
Tech Lead - Python Developer
Aristocrat —Noida, Uttar Pradesh
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Computer Science
Software Development Engineer - Software Development Engineering N 4A
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
11d
Tech Lead - Automation N 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
15h
Senior AI Architect
Icreon —Noida, Uttar Pradesh
- Full-time
- Master's degree
- APIs
- Financial services
Quick apply
9d
Data Engineer
Kyndryl —Greater Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Salesforce
- SQL
- AWS
Software Development Engineer 3 - Native Android
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer science
- Computer Science
- Java
Group Technical Architect
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Salesforce
- Java
- SQL
4d
Staff Engineer (Microsoft Power Automate)
Nagarro —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Software troubleshooting
- Master's degree
Quick apply
7d
Software Development Engineer 4
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer science
- Computer Science
- Master's degree
Software Engineer III- Java & AI
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- System design
Agentic Business Process Analyst
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- Customer service
- Mentoring
- AI
Quick apply
3d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior DevOps + MLOps Engineer
Luxoft —Noida, Uttar Pradesh
- DevOps
- English
- AWS
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
RPA Developer - Core
HCLTech —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
Senior Backend Engineer- AI Agents
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- System design
- Databases
- Health insurance
Quick apply
Software Engineer III- Eng
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- System design
11d
Senior Machine Learning Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
11d

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AI Solution Architect II

HCLTech -
Noida, Uttar Pradesh

Apply Now

Job details

9 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 agentic automation platform engineer jobs in up

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