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 productive 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