Gen AI Architect

Remote

Position Overview

We are seeking a highly skilled AI Architect with a strong foundation in Data Science and deep expertise in Generative AI (GenAI) technologies. The ideal candidate will have hands-on experience designing, developing, and scaling AI/ML solutions, with a focus on LLMs, prompt engineering, and AI-driven applications.

This role requires a blend of strategic architecture, hands-on development, and leadership, enabling organizations to leverage cutting-edge AI capabilities for business transformation.

Key Responsibilities

AI & GenAI Architecture

- Design and implement scalable AI/ML and Generative AI architectures for enterprise use cases.
- Lead the development of LLM-powered applications (chatbots, copilots, RAG systems, summarization engines).
- Define architecture patterns for prompt engineering, fine-tuning, embeddings, and vector databases.
- Evaluate and integrate GenAI tools, frameworks, and APIs.

Data Science & Machine Learning

- Apply strong data science expertise to design predictive and prescriptive models.
- Build and optimize ML models using supervised/unsupervised learning techniques.
- Guide teams on feature engineering, model evaluation, and deployment strategies.
- Ensure alignment between traditional ML models and GenAI-based solutions.

GenAI Tools & Technologies

Work extensively with:

- LLMs (OpenAI,



open-source models like LLaMA, Mistral)
- Frameworks (LangChain, LlamaIndex, Haystack)
- Vector databases (Pinecone, Weaviate, FAISS, Chroma)
- Implement Retrieval-Augmented Generation (RAG) pipelines.
- Design and optimize prompt strategies and guardrails.

Cloud & MLOps

- Architect AI solutions on cloud platforms (AWS, Azure, or GCP).
- Implement MLOps pipelines for CI/CD, model monitoring, and lifecycle management.
- Ensure scalability, performance, and cost optimization of AI workloads.

Leadership & Strategy

- Act as a technical leader and advisor for AI initiatives.
- Collaborate with business stakeholders to identify AI opportunities.
- Define AI governance, ethics, and responsible AI frameworks.
- Mentor data scientists, ML engineers, and developers.

Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.

10+ years of IT experience with:

- 5+ years in Data Science / Machine Learning
- 3+ years in AI/ML Architecture
- Solid hands-on experience in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch).
- Proven experience with Generative AI and LLM-based solutions.

Expertise in:

- Prompt engineering
- RAG architecture
- Embeddings and semantic search
- Experience with API integration and microservices architecture.

📌 Gen AI Architect (India)
🏢 Metasys Technologies
📍 India