Job Description
Role & responsibilities
Banking domain experience is preferred
Strong communication skills
Relevant Exp should be 3+ in GenAI, should be strong in RAG, LLM in architecting
Python coding should be good
We are looking for an Architect / Sr. Architect GenAI & AI Platforms, to lead the design and development of a strategic enterprise AI platform. In this role, you will work closely with senior leadership, including founders, to define the platform vision and architect scalable, production-grade AI systems powered by LLMs and modern AI technologies. This platform will act as a digital twin of our existing systems-an intelligent bot/ Platform that provides real-time insights on what needs to be done and how to do it.If you're passionate about Generative AI, LLMs, and cutting-edge technology, and you enjoy building high-impact solutions, wed love to hear from you! As an Architect/Sr. Architect on the Data and AI team, you will:1. Define & Architect AI Platforms
- Lead the architecture of an enterprise-grade AI platform (digital twin) integrating multiple data and system layers
- Design scalable, modular, and extensible system architectures for GenAI-powered applications
- Make key design decisions across model selection, orchestration, data flows, and system integration
2. Build Intelligent GenAI Systems
- Architect LLM-powered systems including copilots, decision-support systems, and agentic workflows
- Define patterns for retrieval-augmented generation (RAG), context management, and reasoning pipelines
- Enable real-time intelligence and actionability through AI-driven insights
3. Drive Engineering Excellence & Scale
- Establish best practices for system design, code quality, and platform reliability
- Oversee development of high-performance, scalable backend systems and APIs
- Ensure robust deployment architectures across cloud environments (AWS/GCP/Azure)
4. Integrate Across Enterprise Ecosystems
- Lead integration of AI platform with existing enterprise systems and data pipelines
- Ensure scalability, security, and compliance in production environments
- Design microservices-based architectures for seamless interoperability
5. Lead, Mentor & Influence
- Work closely with leadership to translate strategic vision into execution.
- Mentor engineering teams and guide technical decision-making.
- Collaborate with clients and stakeholders to drive adoption of AI solutions.
- Contribute to building reusable accelerators and internal AI platforms.
Preferred candidate profile
Overall, 7.5+ to 13 years of experience with relevant experience in MLE/MLOps/AI Engg.
- Proven experience in designing and architecting scalable AI/ML systems.
- Experience in leading a team as well as handling customer stakeholders.
- Proven expertise in working with LLMs, Generative AI, and Agentic AI technologies.
- Experience with cloud-native architectures (Azure, AWS, GCP) and distributed systems.
- Hands-on experience with MLOps, Kubernetes, and CI/CD pipelines.
- Strong proficiency in backend development using Python frameworks (such as Django/Flask) or other similar technologies.
- In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies.
- Ability to drive collaboration across cross-functional teams and lead projects in a dynamic, fast-paced environment.
- Experience in mentoring and guiding teams, fostering collaboration across cross-functional groups.
- Passion for innovation, with the ability to stay updated with emerging technologies and apply them to solve complex challenges.