AI Architect

We are seeking an experienced AI Architect to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will possess deep expertise in AI/ML technologies, Large Language Models (LLMs), cloud-native architectures, and modern software engineering practices.This role will serve as the technical authority for AI initiatives, partnering with business leaders, product teams, data scientists, and engineering teams to define AI strategies, establish architecture standards, and deliver scalable, secure, and production-ready AI solutions.Key ResponsibilitiesAI Strategy & ArchitectureDefine and drive the organization's AI and Generative AI architecture roadmap.Design end-to-end AI platforms and enterprise AI solutions aligned with business objectives.Establish best practices, governance standards, and architecture frameworks for AI adoption.Evaluate emerging AI technologies and recommend suitable solutions for enterprise use cases.Solution DesignArchitect AI-powered applications utilizing: Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI Agents & Agentic WorkflowsNatural Language Processing (NLP)Machine Learning & Deep LearningDesign scalable and resilient AI platforms on Azure, AWS, or GCP.Define integration patterns with enterprise applications, APIs, data platforms, and cloud services.Technical LeadershipProvide architecture guidance to AI Engineers, Data Scientists, and Development teams.Lead solution reviews, proof-of-concepts, and technology evaluations.Drive engineering excellence, security, scalability, and performance optimization.Mentor engineering teams on AI architecture patterns and best practices.Governance & SecurityEstablish Responsible AI, model governance, security, and compliance frameworks.Ensure AI solutions adhere to regulatory, privacy, and cybersecurity requirements.Define monitoring, observability, and model lifecycle management strategies.Stakeholder ManagementEngage senior stakeholders and business leaders to identify AI opportunities.Translate business requirements into scalable architecture solutions.Present AI strategies, solution designs, and technical recommendations to leadership teams.Required QualificationsBachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related disciplines.8-15+ years of technology experience with a minimum of 3-5 years in AI/ML architecture or solution architecture roles.Proven experience designing and delivering enterprise-scale AI or Generative AI solutions.Strong software engineering and cloud architecture background.Experience leading architecture discussions with senior business and technology stakeholders.Technical SkillsArtificial Intelligence & GenAILarge Language Models (LLMs)Generative AIRetrieval-Augmented Generation (RAG)Prompt EngineeringFine-Tuning ModelsAI Agents / Agentic AINLPDeep LearningMachine LearningAI FrameworksLangChainLlamaIndexSemantic KernelAutoGenCrewAIOpenAI SDKHugging FaceCloud TechnologiesAzure OpenAIAzure AI FoundryAzure Machine LearningAWS BedrockAmazon SageMakerGoogle Vertex AIData & Platform TechnologiesDatabricksSnowflakeApache SparkKafkaSQL / NoSQL DatabasesVector Databases (Pinecone, Weaviate, ChromaDB, Milvus)Engineering & DevOpsPythonJava (Preferred)REST APIsDockerKubernetesTerraformCI/CDMLOps