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Sobre esta vaga de Associate Vice President na NAB

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

Job Title:

Associate Vice President

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.

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 (SDE3) to join our Bengaluru office in a collaborative, hybrid work model.
  • As an SDE3, 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 & enterprise-grade implementation, which bring direct improvements in technology or have business impact with relevant business & technical justification and use cases.

What You’ll Bring

  • Senior-Level Production Experience: Proven experience operating at a Senior Software Engineer (SDE3) level, 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.
  • Lead & Mentor Engineers: Act as a technical multiplier. Mentor junior and mid-level engineers, conduct rigorous code/architecture reviews, and foster a culture of engineering excellence, continuous learning, and accountability.
  • Stakeholders Management: Coordinate seamlessly with product managers, business owners, and work collaboratively with a cross-geographical team & stake owners. 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

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

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Sobre a NAB

At NAB you’re encouraged to define your own career path, learn while you work and discover where you excel. And when you’re ready to take on bigger challenges, we’ll give you the tools and support you need to get there. NAB is more than just a job. Our colleagues have an impact far beyond work, supporting customers when they need us and contributing to stronger, more sustainable communities. Our work changes the future of banking. With a winning environment, we’re committed to working together to solve society’s biggest challenges.

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