Gemini Enterprise FDE
Category: Cloud Computing / IT Infrastructure / Cloud Consulting
Experience:6-10 years
Location:PAN India, Gurugram, Noida, Bengaluru, Hyderabad, Mumbai
Your team
Join a prestigious global organization with a 50-year legacy, collaborating with some of the world’s leading enterprises. As India’s largest multinational business group, they leverage the expertise of over 500,000 highly skilled consultants across 46+ countries. Renowned for excellence in Data & Analytics, Capital Markets, and Post Trade services, the organization continues to shape the future of global business solutions through innovation, industry leadership, and an unwavering commitment to quality.
Your job
- You will integrate Gemini models, APIs, enterprise applications, data sources, and cloud services to address business use cases.
- You will design and develop enterprise-grade AI solutions using Google Gemini and Generative AI technologies.
- You should build and optimize RAG pipelines, AI agents, prompt workflows, vector search, embeddings, and function-calling solutions.
- You will leverage Google Cloud services such as Vertex AI, BigQuery, Cloud Run, and related AI services to develop scalable solutions.
- The position requires translating customer requirements and business challenges into practical Gemini-based technical solutions.
- You should prototype, test, evaluate, and optimize AI/ML solutions for accuracy, performance, scalability, and reliability.
Capabilities
- You must have 6–10 years of experience in software engineering, solution architecture, AI/ML, or related technology domains.
- Strong expertise in Generative AI, Large Language Models (LLMs), and Google Gemini is essential.
- You should have hands-on experience building and deploying enterprise AI solutions using Gemini and related Google Cloud technologies.
- Strong knowledge of prompt engineering, RAG, vector databases, embeddings, function calling, and AI agents.
- You should have proficiency in Python and/or Java for developing AI-powered applications and integrations.
- Experience with Google Cloud Platform (GCP) and services such as Vertex AI, BigQuery, Cloud Run, and related AI services is expected.
- You will work with enterprise data, APIs, applications, and cloud services to integrate Gemini capabilities into business solutions.
- Strong understanding of AI security, governance, responsible AI, data privacy, and model evaluation is required.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.