Step into the role of AI Architect, where you'll drive the design and rollout of generative AI solutions built on advanced tooling and cloud infrastructure.

Working in close partnership with engineering teams, you'll develop, refine, and launch AI models while making sure they satisfy performance, security, and governance requirements. If your background includes solid AI expertise combined with genuine enthusiasm for generative technology innovation, we'd love to hear from you.

Responsibilities

Create and architect generative AI systems built to scale effectively
Construct and launch large language models along with agentic system frameworks
Tune and assess AI and generative AI models to ensure production readiness
Partner with engineering teams to embed AI capabilities into broader solutions
Maintain alignment with security protocols and governance standards
Build out retrieval-augmented generation approaches and vector database implementations
Oversee MLOps pipelines that support the full AI system lifecycle




Help advance AI frameworks and tooling through continuous refinement
Provide technical AI guidance to teams across different functions

Requirements

Over 12 years of substantial experience spanning AI and machine learning
A minimum of 2 years focused specifically on generative AI and large language models
Solid grounding in conventional AI and machine learning approaches
Robust command of deep learning techniques, including LSTM, CNN, and VAE
Hands-on experience with generative AI tooling, such as LangChain, LlamaIndex, and Hugging Face transformers
Working knowledge of vector database solutions like FAISS and Qdrant
Background working with cloud-based AI platforms, including AWS, Azure, and GCP
Solid capability in MLOps practices and bringing AI models into production
Strong coding abilities paired with familiarity in AI evaluation tools such as RAGAS and DeepEval
A problem-solving mindset combined with the ability to collaborate effectively across teams

📌 AI Architect (Pune)
🏢 EPAM Systems
📍 Pune