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Gen AI Architect

Gen AI Architect

Swits Digital

7 - 10 years

30 - 35 Lacs

pune

Posted:21 hours ago| Platform:

Apply

Skills Required

computer science computer vision architect statistical analysis data science analytical focus machine learning open source python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly skilled

Gen AI Architect / AI Engineer

with deep expertise in generative AI, cloud-based AI platforms, and advanced data pipelines. The ideal candidate will design, develop, and deploy state-of-the-art AI solutions leveraging tools such as

AWS Bedrock, Azure OpenAI, Huggingface, LangChain, Semantic Kernel, Agentic AI, and Autogen

. The role requires strong experience in

Prompt Engineering, RAG, document and image intelligence, and synthetic data generation

Key Responsibilities

Architect, implement, and optimize
generative AI models
for applications such as text and image generation, document extraction, and synthetic data creation.
Apply
advanced prompt engineering techniques
and keep abreast of the latest AI/ML research and generative AI innovations.
Develop, fine-tune, and benchmark generative AI models for
performance, scalability, and business objectives
, comparing outputs across models for quality evaluation.
Apply
data science principles
, including statistical analysis, data preprocessing, and machine learning techniques, to enhance model accuracy and efficiency.
Collaborate with
data engineers, software developers, and product managers
to integrate AI models into enterprise products and services.
Ensure AI models are designed and deployed
ethically
, adhering to industry standards, compliance, and regulatory requirements.

Minimum Qualifications / Skills

Bachelor s or Master s degree in
Computer Science, AI, Machine Learning, Data Science
, or a related field.
5+ years of experience in
AI/ML
, with a focus on
generative AI models
.
Strong hands-on experience in
Python
and AI frameworks such as
TensorFlow, PyTorch
.
Proficiency with
Azure OpenAI, Open Source LLMs, LangChain
, and other generative AI development tools.
Solid experience in
data science principles
, including statistical analysis, feature engineering, and machine learning.

Preferred Qualifications / Skills

Familiarity with
Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering
, and
zero-shot learning
.
Knowledge of
NLP and computer vision
for generative AI applications.
Experience with
AI pipelines and automation tools
such as Semantic Kernel, Autogen, or Agentic AI.
Strong analytical and problem-solving skills with a focus on
scalable, production-grade AI solutions
.

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