Gen AI architect

Carmatec

10 years

0 Lacs

Noida Uttar Pradesh India

Posted:3 days ago| Platform:

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Skills Required

ai design development deployment power cutting aws azure openai gcp vertex collaboration drive monitoring tuning compliance security data governance ml mlflow docker kubernetes evaluation metrics communication leadership healthcare research

Work Mode

On-site

Job Type

Full Time

Job Description

We’re Hiring: Generative AI Architect | Noida (Hybrid)

Experience:

Type:

Generative AI Architect

This is your opportunity to work at the intersection of AI innovation and real-world impact—building intelligent systems using cutting-edge models like GPT, Claude, LLaMA, and Mistral.

🔍

What You’ll Do:

Architect and implement secure, scalable GenAI solutions using LLMs.
Design state-of-the-art
RAG pipelines
using LangChain, LlamaIndex, FAISS, etc.
Lead
prompt engineering
and build reusable modules (e.g., chatbots, summarizers).
Deploy on cloud-native platforms:
AWS Bedrock, Azure OpenAI, GCP Vertex AI
.
Integrate GenAI into enterprise products in collaboration with cross-functional teams.
Drive
MLOps
best practices for CI/CD, monitoring, and observability.
Explore the frontier of GenAI—multi-agent systems, fine-tuning, and autonomous agents.
Ensure compliance, security, and data governance in all AI systems.

✅

What We’re Looking For:

8+ years in AI/ML, with 2–3 years in LLMs or GenAI.
Proficiency in
Python
, Transformers, LangChain, OpenAI SDKs.
Experience with
Vector Databases
(Pinecone, Weaviate, FAISS).
Hands-on with cloud platforms: AWS, Azure, GCP.
Knowledge of
LLM orchestration
(LangGraph, AutoGen, CrewAI).
Familiarity with tools like MLflow, Docker, Kubernetes, FastAPI.
Strong understanding of GenAI evaluation metrics (BERTScore, BLEU, GPTScore).
Excellent communication and architectural leadership skills.

🌟

Nice to Have:

Experience fine-tuning open-source LLMs (LoRA, QLoRA).
Exposure to multi-modal AI systems (text-image, speech).
Domain knowledge in BFSI, Healthcare, Legal, or EdTech.
Published research or open-source contributions in GenAI.

Location:

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Let’s build the future—one intelligent system at a time. 💡

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