Agentic AI Architect
Category: Banking and Finance
Experience:8–12 years
Location:PAN India, Gurugram, Pune, Noida, Delhi NCR, Hyderabad
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
- Lead the design and implement end-to-end Agentic AI architectures for enterprise applications and business use cases.
- You will develop AI agents and multi-agent workflows using LLMs, tools, APIs, and enterprise data sources.
- You should integrate RAG, vector databases, function calling, and tool orchestration into scalable AI solutions.
- The role requires evaluating and selecting appropriate LLMs, AI frameworks, cloud services, and architecture patterns based on business requirements.
- You must ensure solutions meet scalability, security, reliability, performance, and responsible AI standards.
Capabilities
- You must have strong expertise in Agentic AI, Generative AI, and AI architecture to design intelligent, autonomous, and scalable AI solutions.
- The role requires 8–12 years of experience in AI/ML, software engineering, solution architecture, or related technologies.
- You should have hands-on experience with LLMs, AI agents, agentic workflows, prompt engineering, and AI orchestration frameworks.
- Strong knowledge of multi-agent systems, tool calling, function calling, RAG, vector databases, and AI-powered decision-making is required.
- You will design and implement end-to-end Agentic AI architectures integrating LLMs, enterprise applications, APIs, data sources, and external tools.
- Hands-on proficiency in Python and/or Java, along with familiarity with modern AI/ML frameworks, is expected.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.