AI / ML Architect / GEN AI Architect / AI Architect

Job description

**About the Role** **We are looking for an experienced** **AI Architect** **to lead the design, development, and deployment of enterprise-scale Artificial Intelligence solutions. The ideal candidate will have strong expertise in** **Generative AI, Large Language Models (LLMs), Agentic AI, RAG architectures, Machine Learning, Cloud Platforms, and Enterprise Solution Architecture.** **You will work closely with business stakeholders, data scientists, engineering teams, and product leadership to build scalable AI platforms and transform business processes through AI-driven innovation.** **Key Responsibilities** - **Design and architect end-to-end AI/GenAI solutions aligned with business objectives.** - **Define enterprise AI strategy, architecture standards, and best practices.** - **Build and implement Generative AI applications leveraging LLMs, RAG, Agents, and multi-agent frameworks.** - **Design scalable AI platforms using Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent cloud services.** - **Collaborate with cross-functional teams to translate business requirements into technical AI solutions.** - **Evaluate and recommend AI frameworks, models, tools, and infrastructure.** - **Define data, model, and deployment architectures ensuring scalability, security, and governance.** - **Lead AI solution design reviews and provide technical leadership during implementation.** - **Ensure AI solutions comply with security, privacy, and responsible AI principles.** - **Drive MLOps/LLMOps practices for model deployment, monitoring, observability, and lifecycle management.** - **Mentor engineering and data science teams on AI architecture and best practice** **Required Skills & Qualifications** **AI & Machine Learning** - **Strong experience in Machine Learning and Deep Learning concepts.** - **Hands-on expertise with Large Language Models (LLMs).** - **Experience with Generative AI solution development.** - **Knowledge of Retrieval-Augmented Generation (RAG).** - **Experience building Agentic AI and autonomous AI workflows.** - **Prompt Engineering and AI model optimization.** **Technical Skills** - **Strong programming expertise in Python.** - **Experience with PyTorch, TensorFlow, Scikit-Learn.** - **Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.** - **API integration and microservices architecture experience.** **Cloud & Infrastructure** - **Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.** - **Knowledge of Docker and Kubernetes.** - **Experience designing cloud-native AI solutions.** **Data & Platforms** - **Experience with SQL and NoSQL databases.** - **Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, or Milvus.** - **Strong understanding of data architecture and data engineering principles.** **Architecture & Governance** - **Enterprise Architecture and Solution Design expertise.** - **AI Governance, Responsible AI, Model Monitoring, and Compliance frameworks.** - **Strong understanding of scalability, reliability, and security architecture.**