Are you a hands-on Architect who is passionate about the future of GenAI and eager to shape the next generation of intelligent, agentic applications? Our Corporate Generative AI Team is seeking a visionary Generative AI Architect to lead the design and implementation of cutting-edge GenAI and agentic AI solutions. This role is pivotal in defining the architecture and technical direction for enterprise-scale AI systems that power our internal corporate functions.
As a GenAI Architect, you will collaborate with cross-functional teams to build scalable, secure, and production-ready Corporate GenAI platforms and solutions. You will serve as a thought leader, influencing both technical strategies and executive-level decisions, while staying ahead of emerging trends in LLMs, AI agents, and orchestration frameworks.
Key Responsibilities
Enterprise GenAI Architecture & Strategy
- Define and evolve the enterprise-wide architecture blueprint for GenAI and agentic systems.
- Lead the design of modular, reusable, and scalable architecture patterns for GenAI and agentic applications.
- Design single pane of Glass GenAI product(s) which caters to multiple corporate domains and multiple personas.
- Develop and design robust, secure solution patterns that can be operationalized across enterprise environments.
Agentic AI Frameworks & Orchestration
- Architect and implement agentic AI systems using frameworks like LangGraph, LangChain, or CrewAI.
- Design agent coordination strategies and evaluation pipelines for autonomous enterprise workflows.
Prompt Engineering, Intent Understanding & Model Selection
- Develop architectural patterns for advanced prompt engineering, including dynamic prompt templates and multi-turn dialogue strategies.
- Implement intent analysis techniques to enhance agent decision-making and user interaction quality.
- Demonstrate deep understanding of various LLM models (e.g., GPT, Claude, Gemini, open-source models) and determine the right model for each use case based on performance, cost, latency, and compliance.
- Rapidly develop PoCs and iterate solutions using an agile, experimental approach—without compromising architectural integrity or long-term scalability.
Scalable Infrastructure & Deployment
- Build cloud-native, containerized infrastructure (Kubernetes, ECS, EKS) for deploying GenAI models at scale.
- Integrate CI/CD pipelines, model versioning, and automated testing for continuous delivery.
Enterprise Integration & Operationalization
- Design APIs and microservices to integrate GenAI capabilities into enterprise systems (ERP, CRM, HRIS).
- Architect solutions that are highly secure and have High availability, resiliency, uptime, and built-in insights.
- Establish monitoring frameworks for agent behavior, hallucination detection, and model drift.
Innovation & Thought Leadership
- Stay ahead of trends in agentic AI, autonomous systems, and LLM orchestration.
- Lead internal workshops, and innovation sprints to explore new use cases.
Documentation & Knowledge Sharing
- Maintain detailed architectural documentation and operational playbooks.
- Mentor engineering teams and promote best practices in GenAI development.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.