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Accion Labs
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GenAI Architect

GenAI Architect

Accion Labs

9 - 14 years

30 - 45 Lacs

noida south goa hyderabad

Posted:1 day ago| Platform:

Apply

Skills Required

on-premise genai architect ai solutions rag pipelines mcp software architecture design generative ai langchain code conversion genai apis generative ai architect agentification pinecone agentic ai open source ai ai architect weaviate ocr pipelines python

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: GenAI Architect

Experience Required:

Role Overview

GenAI Architect

Key Responsibilities

Architect and implement GenAI solutions, including
LLMs, RAG pipelines, embedding models, and vector search
.
Design and optimize
prompt engineering strategies, fine-tuning approaches
, and mitigate hallucinations in AI outputs.
Develop robust AI workflows using
Python, LangChain, Hugging Face Transformers
, and vector databases such as
Pinecone
or
Weaviate
.
Integrate and leverage
GenAI APIs
(OpenAI, Azure OpenAI, Anthropic, Google Vertex AI).
Deploy AI applications in
cloud-native environments
(AWS, GCP, Azure) using
Kubernetes and containerized architectures
.
Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases.
Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes.

Required Skills & Qualifications

10+ years
of experience in software architecture or machine learning, with
2+ years in GenAI/LLM-focused roles
.
Strong expertise in:
LLMs and RAG pipelines
Prompt engineering, fine-tuning, and hallucination mitigation
LangChain, Hugging Face Transformers, Python
Vector databases (Pinecone, Weaviate, etc.)
Proficiency in deploying solutions on
AWS/GCP/Azure
with Kubernetes.
Experience with
model evaluation frameworks
and industry best practices.
Ability to communicate AI strategies and outcomes to non-technical stakeholders.

Preferred Qualifications

Hands-on experience with
LLMOps tools
(Weights & Biases, MLflow, Trulens, PromptLayer).
Knowledge of
domain-specific AI
applications (real estate, finance, risk modeling).
Exposure to
multi-modal GenAI
(text, image, document, voice).
Contributions to
open-source projects, research publications, or patents
in AI/ML.

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