Architect/Consultant

We are seeking a highly skilled and experienced Senior Architect/Consultants to lead our Generative AI Technologies team. The ideal candidate will have a deep understanding of Generative and Agentic AI, LLMs, retrieval-augmented generation (RAG), machine learning, and modern interoperability standards such as the Model Context Protocol (MCP), along with a proven track record of architecting and implementing innovative, enterprise-scale solutions.

As a Senior Architect/Consultant, you will play a pivotal role in shaping our Generative AI strategy, selecting appropriate models and technologies, and collaborating with cross‑functional teams to deliver cutting‑edge solutions that meet customer requirements and business objectives.

• Generative AI Strategy: Lead the development of the Generative and Agentic AI technology roadmap – identifying opportunities, evaluating potential use cases, and proposing innovative, agent‑driven solutions that align with business goals.
• Model Selection: Evaluate and select appropriate models, agent frameworks, RAG strategies, and integration standards (including MCP) based on the specific requirements of each project. Consider factors such as data availability, complexity, safety, cost, latency, and computational resources.
• Architectural Design: Design comprehensive and scalable architectures for Generative AI solutions, considering components such as data preprocessing, model training, deployment, and monitoring. This includes agentic observability, tracing, and monitoring; guardrails and red‑team‑ing; and continuous optimization of accuracy, cost, and latency. Understanding of AI governance, security, privacy, bias/fairness, and emerging AI regulation is essential.
• Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively.
• Technical Proficiency: Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks. Experience with cloud AI platforms, vector databases, containerization and orchestration, and distributed computing is advantageous.
• Architecture Design (Reiteration): Ability to design end‑to‑end Generative and Agentic AI architectures that encompass data preprocessing, model selection, RAG pipelines, agent orchestration, MCP‑based tool and system integration, guardrails, training/inference pipelines, and deployment strategies. Strong grasp of scalable, reliable, secure, and cost‑and‑latency‑efficient system design for enterprise‑grade AI.
• Secondary Skill Set: Familiarity with the specific industry domain or vertical in which the Generative AI solutions will be applied is beneficial. Understanding of data engineering practices, data pipelines, and data management is also important.

Company Overview: Topaz Centre of Excellence is the Central AI and automation evangelisation unit at Infosys. Our vision is to enable Infosys towards delivering exponential value to customers through AI driven differentiation across all horizontal and vertical services, leveraging our internal as well as our partner capabilities.

About Infosys: Infosys is a global leader in next‑generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. We are deeply committed to being a well‑governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.