AI Principal Architect

OverviewPrincipal Technology Architect - USJob DetailsWork Location: Arizona, Indiana, North Carolina, Texas, USAAbout the RoleInfosys is seeking an AI Principal Architect. In this role, you will lead the design and implementation of AI-driven product capabilities across multiple domains like Aero, Manufacturing, Retail, Finance etc., using both Traditional & Generative AI + Machine Learning. The role involves defining architecture, guiding development, and enabling innovation across AI/ML, LLM, RAG, and Agentic AI use cases. The candidate should have technical consulting capabilities, solutioning acumen, and domain knowledge across industries where GEN AI is applied. You will conduct value stream workshops to define AI implementation scope and create architecture and detailed solutions. Excellent communication skills are expected.TravelThis position will require travel to project locations. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.Key ResponsibilitiesArchitect and deliver scalable GenAI solutions across data, model, and application layers.Define reference architectures, reusable patterns, and best practices for AI integration into products.Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.Familiarity with ML and ability to integrate AI/ML solutions.Establish MLOps and GenAIOps pipelines for model lifecycle management, monitoring, and governance.Collaborate with product, data, and engineering teams to translate business needs into AI-enabled features.Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.Mentor teams on AI engineering, prompt design, and scalable deployment practices.Support pre-sales and customer discussions to define solution approaches and architecture options.Familiarity with a Product development value chain in a domain.Required QualificationsBachelor's degree or foreign equivalent from an accredited institution; three years of progressive experience in lieu of every year of education may be considered.At least 11 years of overall IT experience.Strong foundation in NLP and LLM-based architectures.Familiarity with machine learning and deep learning (strong knowledge is an added advantage).Hands-on expertise with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow.Experience with cloud AI ecosystems — AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI).Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, MILVUS) and RAG pipelines.Familiarity with containerization (Docker, Kubernetes) and MLOps workflows.Exposure to prompt engineering, fine-tuning, evaluation, and responsible AI practices.Understanding of data engineering, model observability, and AI governance.Excellent communication skills and ability to conduct value-stream workshops.Preferred QualificationsStrong analytical, problem-solving, and communication abilities.Collaborative mindset with ability to work across product, engineering, and data teams.Thought leadership in driving AI adoption, innovation, and best practices.Experience supporting AI CoE initiatives and customer engagements.Work EnvironmentThe job entails sitting as well as working at a computer for extended periods. Travel may be required as per the job requirements. The role requires communication by telephone, email, or face to face.About UsInfosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. We empower the business with agile digital at scale to deliver performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Equal Employment OpportunityInfosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.J-18808-Ljbffr