Associate Architect

📋 Description

• Define end-to-end AI/ML and Gen AI architecture including data pipelines, training, inference, and MLOps.
• Lead client solution design discussions and present AI architectures to drive business value.
• Architect scalable cloud-native AI solutions using Azure ML, SageMaker, or Vertex AI.
• Lead integration of Generative AI into enterprise apps via LLM APIs (OpenAI, Gemini) or open models.
• Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS).
• Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and retraining.

🎯 Requirements

• Master’s degree in CS/Engineering/Math with 15+ years in ML/AI; PhD desirable.
• Strong grasp of AI architecture patterns (RAG, Agent AI, MCP-based systems, prompt orchestration).
• Deep experience with Python and ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).
• Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), embeddings, and fine-tuning.
• Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines).
• Familiarity with APIs, microservices, and containerization (Docker, Kubernetes).

🎁 Benefits

• Flexible, remote-first work with location flexibility.
• Global collaboration across the world.
• Open feedback channels and your voice matters.
• Growth and development through diverse clients and challenges.