Software Architect AI

2 days ago

Pune, Maharashtra, India Opura AI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

Opura Technologies is a Generative AI-driven startup focused on developing AI based products. We aim to help businesses boost conversions, enhance customer engagement, and achieve measurable outcomes, driven by our deep AI expertise and innovation.

About the Role

We are seeking a highly skilled
Software AI Architect

to define and lead the architecture of
AI-powered products.

The ideal candidate has deep expertise in
designing AI systems end-to-end

and a proven track record of
building products from the ground up

—from concept and MVP to production and scale.

As a strategic technical leader, you will work closely with product, engineering, and leadership teams to
translate business vision into scalable, secure, and high-performing AI solutions

, with a strong emphasis on
Generative AI and Large Language Models (LLMs)

.

Compensation

This is an
equity-based role

(no direct salary). We are offering
equity participation

in the company for the right candidate who is motivated to build AI products
from the ground up

with long-term ownership and vision.

Key Responsibilities

  • Define and own the
    overall architecture

for AI-based products and platforms.
- Architect and deliver
AI products from scratch

, including MVP design, prototyping, scaling, and production readiness.
- Build
end-to-end AI pipelines

– data ingestion, preprocessing, training/fine-tuning, deployment, and monitoring.
- Evaluate, select, and integrate
LLMs and GenAI frameworks

(e.g., Hugging Face, LangChain, OpenAI APIs).
- Design and implement
Retrieval-Augmented Generation (RAG)

and model fine-tuning strategies.
- Provide architectural leadership on
data pipelines

,
cloud-native solutions

,
microservices, and distributed systems.
- Drive
MLOps practices

(CI/CD for AI, monitoring, retraining) to ensure sustainable AI delivery.
- Mentor engineering teams, review designs/code, and establish
AI/ML

best practices.
- Ensure adherence to
data security,

privacy

,
and ethical AI standards.
- Stay updated on emerging AI technologies and
recommend adoption for business growth

.

Qualifications

  • 10–12

years of experience in software development, with
at least 3 years

in AI/ML system design and architecture.
- Proven expertise in
building and scaling AI-based products from the ground up.
- Strong knowledge of:
- ML/DL frameworks

: PyTorch, TensorFlow
- Generative AI & LLMs

: OpenAI, Hugging Face, LangChain, RAG-based systems
- Cloud AI Platforms

: AWS Sagemaker, GCP Vertex AI, Azure AI
- Data pipelines & orchestration:

Spark, Kafka, Airflow
- Experience with
software architecture principles

, microservices, APIs, and cloud-native designs.
- Hands-on experience with
MLOps, CI/CD pipelines, and production-grade AI deployments

.
- Strong leadership, communication, and cross-functional collaboration skills.

Preferred Skills

  • Experience architecting
    multi-tenant AI SaaS platforms

.
- Familiarity with
vector database

s (Pinecone, Weaviate, Milvus, FAISS) for RAG.
- Exposure to
privacy-preserving ML

(federated learning, differential privacy).
- Designing
multi-region, highly available AI systems

in cloud environments.

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