Artificial Intelligence and Machine Learning Architect

AI/ML Architect

AI/ML Architect1

Key Responsibilities

• Define and govern end-to-end AI/ML and GenAI architectures aligned with business and enterprise standards
• Evaluate, select, and standardize AI/ML tools, frameworks, and platforms across the organization
• Drive AI/ML and GenAI POCs from ideation to production deployment
• Design scalable solutions for LLMs, RAG-based systems, and agentic / multi-agent architectures
• Establish and lead the AI Center of Excellence (COE), including reference architectures, accelerators, and best practices
• Provide technical leadership, architecture reviews, and solution governance
• Lead training programs, hands-on workshops, and knowledge-sharing sessions for AI/ML teams and stakeholders
• Mentor and coach engineers on AI engineering, MLOps, deployment, and architectural best practices
• Collaborate with business, product, and engineering teams to translate business problems into AI-driven solutions
• Ensure solutions adhere to security, scalability, performance, and Responsible AI standards

Skills Required

• Strong foundation in Machine Learning, Deep Learning, NLP, and Generative AI
• Hands-on experience with multiple LLMs (OpenAI / Azure OpenAI, Gemini, Claude, LLaMA, Mistral)
• Expertise in RAG architectures, embeddings, and vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus)
• Experience with agentic and multi-agent systems, including MCP / A2A concepts
• Proficiency in modern GenAI frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Google ADK)
• Strong programming experience in Python; API development using FastAPI and Flask
• Experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn)
• Hands-on experience with cloud AI platforms (Azure, AWS, GCP)
• Expertise in deployment, CI/CD, containerization, and MLOps using Docker, Kubernetes, MLflow, Azure ML, SageMaker, or Vertex AI
• Proven experience leading AI teams and COE initiatives
• Strong capability in training, mentoring, and upskilling technical teams
• Ability to define and enforce AI governance, risk, compliance, and Responsible AI practices
• Excellent stakeholder management, communication, and strategic thinking skills

Experience Level

Senior Level