Artificial Intelligence Architect: Noida/ Gurugram (Hybrid)

Quadrant Resource LLC; Dadri, Gurugram District, Delhi; Ibrido; INR 4.000.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

Quadrant Resource LLC in Noida/Gurugram is seeking an AI Architect to lead design and delivery of advanced AI solutions in a hybrid work environment (4 days in the office per week). You will architect systems, select frameworks, and mentor teams to implement LLM-based applications across industries.

The role demands deep knowledge of AI/ML algorithms, NLP, generative AI, and MLOps, plus hands-on experience with PyTorch, TensorFlow, LangChain and Docker/Kubernetes. Immediate joiners preferred.

Competenze

• 10+ years of IT experience.
• Strong AI/ML fundamentals including DL, NLP, and Generative AI.
• Hands-on with LLMs, RAG, embeddings, vector databases, prompts, and AI agents.
• Proficient in Python; Java/C# or similar enterprise languages preferred.
• Experience with PyTorch, TensorFlow, Hugging Face, LangChain or equivalents.
• Experience with AWS and cloud services.
• Knowledge of APIs, microservices, distributed systems.
• Experience with Docker, Kubernetes, CI/CD, MLOps, and cloud-native architectures.
• Understanding of AI security, data privacy, governance and responsible AI.

Conoscenze

IT experience

AI/ML fundamentals

LLMs & RAG architectures

Python programming

AI frameworks (PyTorch/TF/HF)

AWS cloud services

APIs & distributed systems

Docker/Kubernetes/CI/CD

Responsible AI & data privacy

Strumenti

LangChain

Embeddings & vector DBs

MLOps

Cloud-native architectures

Docker

Kubernetes

CI/CD

Descrizione del lavoro

Job Description

Job Title: AI Architect

Location: Noida/ Gurugram (Hybrid- 4 days in office/ week)

Skills Required

• 10+ years of experience in IT.
• Strong understanding of AI/ML algorithms, deep learning, NLP, and Generative AI.
• Hands-on experience with LLMs, RAG architectures, embeddings, vector databases, prompt engineering, and AI agents.
• Strong programming experience in Python and preferably Java, C#, or another enterprise programming language.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent technologies.
• Experience with AWS,
• Knowledge of APIs, microservices, event-driven architectures, databases, and distributed systems.
• Experience with Docker, Kubernetes, CI/CD, MLOps, and cloud-native architectures.
• Understanding of AI security, data privacy, model governance, and responsible AI principles.

Client will prefer immediate joiners.