Senior Analyst

National Australia Bank (NAB); New Delhi; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

National Australia Bank (NAB) India is hiring for an AI Engineer to design and implement agentic AI systems in Bengaluru (Hybrid). You will drive multi-agent architectures, retrieval memory, and secure AI gateways, with an emphasis on scalability, observability, and integration with NAB's enterprise data systems.

The role demands production experience with LLMs, strong knowledge of LangChain/LangGraph, vector databases, and cloud/Kubernetes deployment.

Qualifications

• Proven experience taking complex LLM/AI solutions from concept to enterprise production.
• Strong hands-on expertise in agentic design and multi-agent orchestration.

Responsibilities

• Architect Agentic Systems using multi-agent orchestrations and LLM-powered workflows.
• Master advanced retrieval memory with GraphRAG and vector databases for grounding decisions.
• Embed security/compliance guardrails and secure AI gateways in the system design.
• Build observability pipelines and trustable evaluation with LLM-as-a-Judge and tracing.
• Optimize cost-to-serve and latency with smart routing and token management.
• Lead enterprise integration with NAB databases and APIs and mentor juniors.
• Identify new AI applications with business justification and use cases.

Skills

Production Experience

Agentic Frameworks

Design Patterns

Vector Databases

Secure Architecture

Observability

Stakeholder Management

ML Foundations

Financial Services Context

Cloud Leadership

Tools

LangChain

LangGraph

Amazon Bedrock

AgentCore

CrewAI

AutoGen

DSPy

LangSmith

OpenTelemetry

pgvector

Pinecone

Qdrant

Python

TypeScript

Java

Go

AWS

Kubernetes

Docker

Job description

Job Title:

Senior Analyst

Work Type:

Permanent

Location:

WeWork-Cinnabar Hills, , Embassy Golf links Business Park, Off Intermediate Ring Rd, Challaghatta, Bengaluru, IND

It s more than a career at NAB. It s about more meaningful work, more global opportunities and more innovation beyond boundaries .

Your job is just one part of your life. When you bring your ideas, energy, and hunger for growth, you ll be recognised and rewarded for your contribution in return. You ll have our support to excel for our customers, deliver positive change for our communities and grow your career.

NAB has established NAB Innovation Centre India as a centre for operations and technology excellence to support NAB deliver faster, better, and more personalized experience to customers and colleagues.

At NAB India, we re ramping-up and growing at a very fast pace. Our passionate leaders recruit and develop high performing people, empowering them to deliver exceptional outcomes to make a positive difference in the lives of our customers and our communities.

AI Engineer / Developer

Location: Bengaluru, India (Hybrid)
Company: National Australia Bank (NAB)

The Opportunity

• National Australia Bank (NAB) is accelerating its technological evolution by embedding autonomous, intelligent systems into the core of our enterprise. We are seeking a visionary AI Engineer to join our Bengaluru office in a collaborative, hybrid work model.


• You will be a primary technical driver in designing and building advanced Agentic AI architectures. You will lead the transition from simple prompt engineering to deterministic, multi-step autonomous workflows equipped with persistent memory and complex reasoning capabilities.


• You will be responsible for creating enterprise-ready AI solutions that prioritize security, compliance, and risk mitigation from the ground up, ensuring our AI deployments meet the rigorous standards of a global financial institution.


• This is a unique opportunity to shape the foundational design patterns, advanced retrieval systems, and AI gateways that will power NAB s next generation of intelligent applications.

What You ll Do

• Architect Agentic Systems

Design and build scalable, production-grade AI architectures utilizing advanced multi-agent orchestrations, ReAct (Reason + Act) strategies, and complex tool/function calling loops.

• Master Advanced Retrieval Memory

Implement advanced retrieval strategies (such as GraphRAG and multi-hop routing) and integrate enterprise Vector Databases to ground agent decisions in persistent, long-term memory.

• Embed Security Compliance

Architect AI solutions that are intrinsically secure. You will integrate data privacy, compliance guardrails, and secure AI Gateways directly into the system design to prevent data leakage and mitigate LLM vulnerabilities.

• Drive Observability Evals

Build comprehensive evaluation pipelines using techniques like LLM-as-a-Judge, offline golden datasets, and tracing telemetry to ensure deterministic, safe, and auditable agent behavior in production.

• Optimize for Scale

Take ownership of the cost-to-serve and latency of multi-agent workflows through intelligent model routing, KV cache optimization, and rigorous prompt token management.

• Lead Enterprise Integration

Build highly available solutions that integrate seamlessly with existing NAB databases and APIs while mentoring junior engineers on agentic software design patterns.

• Innovate / Identify New Areas of Application of Artificial Intelligence

Identify new areas of application of AI / LLMs in secure and enterprise-grade implementation, which bring direct improvements in technology or have business impact with relevant business and technical justification and use cases.

What You ll Bring

• Production Experience

Proven experience operating with a strong portfolio of taking complex LLM and AI solutions from concept to enterprise-scale production.

• Agentic Framework Mastery

Deep, hands‑on expertise building with orchestration frameworks like LangChain, LangGraph, Amazon Bedrock, and AgentCore, alongside familiarity with the broader ecosystem (e.g., CrewAI, AutoGen, or DSPy).

• Advanced Design Patterns Protocols

Deep expertise in agentic design patterns (Reflection, ReAct) and a strong grasp of modern agent-to-agent communication standards like the Model Context Protocol (MCP).

• Vector DB Infrastructure Skills

Hands‑on experience with Vector Databases (e.g., pgvector, Pinecone, Qdrant) and rigorous software engineering practices using Python, TypeScript, Java, or Go.

• Secure Architecture Expertise

A demonstrated ability to design systems with built‑in compliance, data security, and risk‑mitigation frameworks specifically tailored for generative AI workloads.

• Production Observability

Real‑world experience managing the lifecycle of AI models in production, including tracing multi-step agent reasoning (using tools like LangSmith or OpenTelemetry) and mitigating prompt injection or hallucinations.

• Stakeholder Management

Coordinate seamlessly with product managers, business owners, and work collaboratively with a cross-geographical team and stakeholders. Translate high-level business objectives into scalable, secure AI technical strategies.

Good to Have

• Machine Learning Background

Solid foundational knowledge of traditional Machine Learning algorithms, model training pipelines, fine‑tuning, and evaluation metrics.

• Financial Services Context

Previous experience building secure, scalable technology solutions within banking, fintech, or other highly regulated corporate environments.

• Cloud Infrastructure Leadership

Advanced experience with enterprise cloud environments (specifically AWS) and deploying containerized applications (Kubernetes, Docker) for AI workloads and MLOps pipelines.

A diverse and inclusive workplace works better for everyone:

Our goal is to foster a culture that fills us with pride, rooted in trust and respect. NAB is committed to creating a positive and supportive environment where everyone is encouraged to embrace their true, authentic selves. A diverse and inclusive workplace where our differences are celebrated, and our contributions are valued. It s a huge part of what makes NAB such a special place to be.

More focus on you:

We re committed to delivering a positive experience for our colleagues and a workplace you can be proud of. We support our colleagues to balance their careers and personal life through flexible working arrangements such as hybrid working and job sharing and competitive financial and lifestyle benefits. We invest in our colleagues through world class development programs (Distinctive Leadership and Career Qualified in Banking), and empower you to learn, grow and pursue exciting career opportunities

Join NAB India:

This is your chance to join NAB India and along with your experience and expertise to help shape an innovation driven organisation that focuses on making a positive impact in the lives of its customers, colleagues and communities