Gen AI Architect

Role:-: Generative AI Architect

Location: Remote (100%)

Duration: Long-Term
Experience Level: 15+ Years

Job Summary:

We are seeking a highly experienced and innovative Generative AI Architect to lead the design, development, and deployment of AI/ML solutions with a focus on Generative AI technologies. The ideal candidate will have deep expertise in Large Language Models (LLMs), transformer-based architectures, and real-world experience building and scaling Gen AI systems.

Key Responsibilities:

• Architect and implement scalable Generative AI solutions using LLMs (e.g., GPT, PaLM, LLaMA, Claude).
• Collaborate with data scientists, ML engineers, and product teams to integrate Gen AI into applications and platforms.
• Design retrieval-augmented generation (RAG) pipelines and fine-tuning strategies for LLMs.
• Evaluate and optimize AI models for performance, scalability, and reliability in production environments.
• Define best practices, frameworks, and architectural blueprints for Gen AI solutions.
• Stay updated on the latest Gen AI research and tools; guide adoption of new technologies.
• Lead technical design discussions and mentor junior AI engineers.

Required Qualifications:

• 10+ years of experience in AI/ML architecture or software engineering.
• 3+ years of hands-on experience with Generative AI/LLMs.
• Proficiency in Python, TensorFlow, PyTorch, and Gen AI frameworks (e.g., LangChain, Hugging Face, Transformers).
• Strong understanding of NLP, prompt engineering, and model fine-tuning.
• Experience deploying AI models using cloud platforms (AWS, Azure, or Google Cloud Platform).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).

Preferred Qualifications:

• Master's or PhD in Computer Science, Machine Learning, Data Science, or a related field.
• Experience with RAG, embeddings, and multimodal models (text + images).
• Exposure to MLOps and CI/CD for ML pipelines.
• Experience working with open-source LLMs or private model hosting.