Position- Enterprise AI Architect at State Bank of India (SBI)

Location- Mumbai

Contract - 3 years extendable to 5 years

CTC- 90 LPA

Educational Qualification (As on 30.09.2026)

Mandatory: Bachelor's / Master's degree in Computer Science, Information Technology, Engineering, Data Science, AI or equivalent discipline.

Preferred Certifications

- TOGAF certification.
- Any certification on Enterprise AI Architecture covering end to end solution designed for AI / ML and digital platforms will be an added advantage.

Post Qualification Work Experience (As on 30.09.2026)

Minimum 8 years of overall technology experience, including at least 3 years in enterprise, platform, data or AI architecture with experience in large-scale AI/ML environments, preferably in BFSI or another regulated industry.

Responsibilities:

- Design and optimize GPU infrastructure and workload architectures, specifically leveraging the NVIDIA AI Enterprise ecosystem for high-performance AI applications.




- Lead the architectural design and implementation of Generative AI and Large Language Model (LLM) solutions, incorporating advanced techniques such as Retrieval Augmented Generation (RAG) and vector databases.
- Develop robust architectures for agentic AI systems, model gateways, and effective model serving mechanisms.
- Establish and enforce ML Ops / LLM Ops pipelines and practices to ensure seamless deployment, monitoring, and lifecycle management of AI models.
- Architect secure and scalable enterprise data platforms that support diverse AI initiatives, ensuring data quality, accessibility, and governance.
- Design API and integration strategies for AI services, enabling seamless consumption across various business units and applications.
- Implement comprehensive AI security measures, responsible AI principles, and robust model governance frameworks to ensure ethical and compliant AI deployments.

For more details, contact: [email protected]/+91 (phone hidden).

📌 Enterprise AI Architect (Mumbai)
🏢 State bank of india
📍 Mumbai