AI Principal Architect

Infosys is seeking an AI Principal Architect. In this role, you will lead the design and implementation of AI‑driven product capabilities across multiple domains such as Aero, Manufacturing, Retail, Finance, etc., using both traditional and 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 ideal candidate combines strong technical depth with a product mindset, collaboration, and leadership, and has technical consulting capabilities, solutioning acumen, and domain knowledge in any industry where generative AI is applied.

Candidates should conduct value‑stream workshops to discover AI implementation scope, create architecture and detailed solutions, and possess excellent communication skills.

• Candidates can be located in Indianapolis, IN;
  Richardson, TX;
  Raleigh, NC; or Phoenix, AZ. The position will require travel to project locations.
• Bachelor’s degree or foreign equivalent from an accredited institution. Three years of progressive experience in the specialty may be considered in lieu of every year of education.
• 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, Tensor Flow, PyTorch, Lang Chain, Lang Graph/CrewAI/Auto Gen, Hugging Face, and MLflow.
• Experience with cloud AI ecosystems – AWS (Sage Maker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI) including Graph
  
  RAG.
• Experience in foundation models, Codex tool plugins, and new coding tools (Cursor, Devin).
• 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.

• Architect 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.
• Integrate AI/ML solutions and support related product features.
• 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.

• Strong analytical, problem‑solving, and communication abilities.
• Collaborative mindset with the 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.
• The job entails sitting and working at a computer for extended periods of time.
• Ability to communicate by telephone, email, or face‑to‑face. Travel may be required as per the job requirements.

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.

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change and also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight.

Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys 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.