Architect / Principal, AI ML

📋 Description

• Define end-to-end AI/ML and Gen AI architecture incl data pipelines, training, inference, and MLOps.
• Lead solution design discussions with clients and present AI/ML architectures.
• Architect scalable cloud-native AI tools (Azure ML, AWS SageMaker, GCP Vertex AI).
• Lead integration of Generative AI into enterprise apps via LLM APIs (OpenAI, Gemini, etc).
• Design retrieval-augmented generation (RAG) with vector stores (Pinecone, FAISS, Weaviate).
• Guide teams on MLOps for CI/CD, model versioning, monitoring, and retraining.

🎯 Requirements

• Master’s degree in CS/Engineering/Math; 15+ years in ML/AI with IT services; PhD desirable.
• Strong AI architecture patterns: RAG, Agent AI, MCP; prompt orchestration.
• Python with ML libraries: scikit-learn, XGBoost, PyTorch, TensorFlow.
• Gen AI APIs: OpenAI, Claude, Gemini; prompt engineering, embeddings, fine-tuning.
• Enterprise AI design with MLOps: MLflow, Kubeflow, SageMaker Pipelines.
• APIs, microservices, and containerization: Docker, Kubernetes; data governance & compliance; ML theory depth.

🎁 Benefits

• Career growth and development
• Wellbeing programs, including mental health support and unlimited PTO
• Intrinsic Dignity – equal opportunity employer
• US benefits: 100% medical and dental coverage for employees and dependents
• Unlimited PTO
• Company-paid disability and life insurance; generous parental leave