AI Systems Technology Architect

• Generative AI Leadership: Define enterprise-scale Generative AI strategy.
• AI-Driven SDLC Transformation: Architect AI-assisted development ecosystems using GitHub Copilot, Amazon Q, Google Duet, Cursor, Devin; improve productivity, quality, and cost.
• Architecture & Platform Engineering: Define end-to-end GenAI architectures across Azure, AWS, GCP, and build reusable assets.
• Design, develop, and deploy Physical AI solutions that enable autonomous interaction between AI models and physical systems such as robots, industrial equipment, drones, autonomous vehicles, or IoT-enabled devices.
• Build and optimize AI-driven perception, reasoning, planning, and control systems using computer vision, sensor fusion, reinforcement learning, digital twins, and real-time decision-making frameworks.
• Collaborate with robotics, engineering, and operations teams to integrate Generative AI, Agentic AI, and Physical AI capabilities for autonomous task execution, adaptive workflows, and human-machine collaboration.
• Stakeholder Advisory: Act as trusted advisor, support RFPs, proposals, and executive decision-making.
• Governance & Compliance: Establish AI governance frameworks and ensure regulatory compliance.

Core Expertise

• Generative AI: Prompt Engineering, RAG, LLM APIs (OpenAI, Azure OpenAI, Gemini)
• AI Dev Tools: GitHub Copilot, Amazon Q, Google Duet, Cursor, Devin
• Cloud: Azure, AWS, GCP; Microservices; DevOps
• Programming: Python, JavaScript/TypeScript
• Experience in enterprise-scale AI transformation programs

The Technology Architect - AI Systems will lead the design and adoption of AI-driven software engineering and agentic architectures to accelerate enterprise SDLC and enable next-generation digital transformation across multiple domains like Manufacturing, Retail, Finance, etc. This role combines deep expertise in Generative AI, AI-assisted development, and multi-agent orchestration with strong architecture leadership. The ideal candidate combines strong technical depth with product mindset, collaboration, and leadership. The candidate should have technical consulting capabilities, Solutioning acumen, Domain knowledge on any of the industries where GEN AI is applied. Candidate should be able to conduct value stream workshops in discovering the AI implementation scope and able to create architecture and detailed solutions. Candidate should have excellent communication skills., * 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

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace