Gen AI Architect & Implementor

Techno Facts Solutions

10 - 14 years

18 - 30 Lacs

bengaluru

Posted:3 days ago| Platform:

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Skills Required

langchain architecture github ci/cd pytorch agentic ai huggingface gcp fast api microsoft azure rag kubernetes

Work Mode

Remote

Job Type

Full Time

Job Description

Role Overview

Generative AI Architect & Implementor

Key Responsibilities

Architect and implement enterprise-scale AI/ML solutions, including
LLM applications, Agentic AI systems, and RAG architectures
.
Build and optimize
NLP/document processing pipelines
on
GCP Vertex AI
and/or
Azure AI
.
Design and deploy
AI agents
using
LangChain, LangGraph
, and integrate with enterprise systems.
Establish robust
MLOps practices
for training, deployment, monitoring, and governance.
Deploy and manage models using
PyTorch, MLFlow, FastAPI
, with CI/CD automation and
Kubernetes
.
Collaborate with cross-functional teams and provide
technical leadership, mentorship, and AI strategy guidance
.

Skills & Technologies

AI/ML Tools
: LangChain, LangGraph, PyTorch, MLFlow, Hugging Face, FastAPI
Cloud
: GCP Vertex AI (preferred), Azure AI, Kubernetes
MLOps/DevOps
: GitHub Actions, CI/CD, Docker, Terraform (optional)
Expertise
: Generative AI, RAG, LLM fine-tuning, vector databases (FAISS, Pinecone, Weaviate)

Qualifications

Bachelors/Master’s in
Computer Science, Engineering, or related field
.
10+ years in IT/AI/ML delivery
, with 4–5 years in AI/ML system design.
Proven record in deploying
enterprise-grade AI solutions
.
Strong knowledge of
cloud-native architectures and scalable AI infrastructure
.
Ability to
lead teams and influence AI strategies
.

Preferred Certifications

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