T&T Cyber CST Deputy Manager AI Risk Management Bengaluru

Deloitte India (South Asia) · Consulting & Professional Services

Bengaluru, India
On-site
Posted 28 days ago
Apply by 27 Nov
Cybersecurity

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About the job

Job requisition ID : 111662

Location : Bengaluru

Entity : Deloitte Touche Tohmatsu India LLP

The team

Deloitte helps organizations prevent cyberattacks and protect valuable assets. We believe in being secure, vigilant, and resilient—not only by looking at how to prevent and respond to attacks, but at how to manage cyber risk in a way that allows you to unleash new opportunities. Embed cyber risk at the start of strategy development for more effective management of information and technology risks.

Your work profile

We are looking for a highly hands-on Senior AI Engineer to design, build and productionize enterprise-grade AI solutions across Generative AI, Agentic AI, RAG/GraphRAG and Machine Learning.

This is an engineering-intensive role requiring strong fundamentals in Python, ML/LLM concepts, retrieval architectures, agent orchestration, backend engineering, cloud deployment and AI evaluation.

The candidate must be able to go beyond building prototypes and demonstrate experience designing AI systems that operate reliably under real-world constraints including latency, concurrency, security, scalability, cost and failure recovery.

Key Skills Required

Design and develop enterprise-grade applications using commercial and open-source LLMs.

Build LLM workflows involving prompt engineering, structured outputs, tool/function calling and model routing.

Understand LLM inference including tokenization, embeddings, attention, context windows, temperature, top-p/top-k sampling and token generation.

Evaluate and select models based on quality, latency, throughput, concurrency, context limits and cost.

Design model abstraction and fallback strategies to avoid dependency on a single LLM provider.

Optimize LLM applications for latency, token utilization and inference cost.

Agentic AI

Design single-agent and multi-agent architectures for complex enterprise workflows.

Determine when agentic AI is appropriate versus deterministic orchestration or traditional software workflows.

Build agent workflows using LangGraph or equivalent orchestration frameworks.

Educational Qualification: Any Graduate BE / B.Tech (Tier 1 / Tier 2) in CS / IT / EC / E, OR MCA from a recognized university

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