Senior AI Architect

Infosys•Sunnyvale, CA

About The Position

Infosys is seeking an AI Architect. In this role, you will play an important role in creating the high-level design artifacts. The AI Architect will lead the design and implementation of AI-driven product capabilities 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 ideal candidate combines strong technical depth with product mindset, collaboration, and leadership. Required Qualifications: Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to the area. Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. 11+ years of overall experience, including 5+ years in AI/ML solution design or architecture. · Strong foundation in NLP, and LLM-based architectures. - Familiarity with machine learning, 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). GraphRAG - Experience in Foundation models, Codex tool plugins, New Coding tools (Cursor, Devin) · Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) 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. Key Responsibilities will include: · 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. - Familiarity with ML and able 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 of a Product development Value chain in a domain 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. Preferred Qualifications: · Strong 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. · Cloud certifications (AWS, Azure, or GCP) preferred. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off About Us 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. We 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.

Requirements

Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to the area.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
11+ years of overall experience, including 5+ years in AI/ML solution design or architecture.
Strong foundation in NLP, and LLM-based architectures.
Familiarity with machine learning, 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). GraphRAG - Experience in Foundation models, Codex tool plugins, New Coding tools (Cursor, Devin)
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) 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.
Familiarity with ML and able to integrate AI/ML solutions
Familiarity of a Product development Value chain in a domain
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.

Nice To Haves

Strong 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.
Cloud certifications (AWS, Azure, or GCP) preferred.

Responsibilities

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.
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.