Technology Architect

Job description

Role Overview

We are looking for a visionary AI Technology Architect to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact. This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through Agentic AI, LLM ecosystems, and edge intelligence while delivering measurable business value.

Key Responsibilities

Define and govern enterprise AI architecture including LLMs, RAG, Agentic AI, and Edge AI systems. Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads. Architect and deploy LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks. Design Agentic AI workflows leveraging tools such as LangChain, LangGraph, Azure AI, and Databricks. Lead AI infrastructure strategy including GPU optimization and high-performance compute environments.

Build and scale AI platforms across AWS, Azure, and GCP ecosystems. Lead development of advanced AI/ML models across NLP, computer vision, graph ML, and forecasting domains. Architect Edge AI solutions for low-latency, distributed decision-making systems. Establish governance for responsible AI, security, and compliance. Mentor teams and drive innovation and capability development.

Required Qualifications

10+ years of experience in AI/ML, Data Science, or Technology Architecture. Strong expertise in Generative AI, LLMs, RAG, and Agentic AI systems. Proficient in Python, APIs, microservices, and data engineering frameworks. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies. Deep understanding of AI infrastructure including GPU optimization and benchmarking. Proven ability to lead large-scale transformation programs.

Preferred Qualifications & Experience

Experience in banking, telecom, healthcare, energy, or supply chain domains. Exposure to Edge AI, O-RAN architectures, and distributed systems. Advanced degree (PhD/Master’s) in AI, Data Science, or related field. Experience in Enterprise adoption of AI platforms and architecture standards. Experience in Scalable deployment of AI solutions delivering measurable outcomes.

Benefits

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. EEO 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.