Job Title:
Senior AnalystWork Type:
PermanentLocation:
WeWork-Cinnabar Hills, , Embassy Golf links Business Park, Off Intermediate Ring Rd, Challaghatta, Bengaluru, INDIt’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
What You’ll Do
Design and build scalable, production-grade AI architectures utilizing advanced multi-agent orchestrations, ReAct (Reason + Act) strategies, and complex tool/function calling loops.
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.
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.
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.
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.
Build highly available solutions that integrate seamlessly with existing NAB databases and APIs while mentoring junior engineers on agentic software design patterns.
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
Proven experience operating with a strong portfolio of taking complex LLM and AI solutions from concept to enterprise-scale production.
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).
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).
Hands-on experience with Vector Databases (e.g., pgvector, Pinecone, Qdrant) and rigorous software engineering practices using Python, TypeScript, Java, or Go.
A demonstrated ability to design systems with built-in compliance, data security, and risk-mitigation frameworks specifically tailored for generative AI workloads.
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.
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
Solid foundational knowledge of traditional Machine Learning algorithms, model training pipelines, fine-tuning, and evaluation metrics.
Previous experience building secure, scalable technology solutions within banking, fintech, or other highly regulated corporate environments.
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
To know more about us please click here
To know more about NAB Global Innovation Centres please click here
We’re on LinkedIn: NAB Innovation Centre India
Job details are sourced from the employer's original posting.
Open job postingAbout the company
NAB Global Innovation Centre India Private Limited is a technology and innovation hub for the National Australia Bank.