Senior Generative AI Developer (GCP)

Posted 13 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Design, build, and deploy scalable Generative AI and LLM production applications on GCP. Implement RAG architectures with vector databases, develop high-throughput APIs and microservices, collaborate with cross-functional teams, and apply prompt engineering, model optimization, and performance evaluation to ensure reliable AI solutions.
Summary Generated by Built In

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

NTT DATA is looking for a Senior Gen AI Developer to deliver projects across AI transformation initiatives within top organisations in Australia.

Position Overview

The Senior Generative AI Developer will focus on building, scaling, and deploying cutting-edge LLM applications natively within the Google Cloud Platform. This role requires an engineer who can translate advanced prompt engineering techniques and Retrieval-Augmented Generation (RAG) architectures into high-performance production environments using GCP’s premiere ML tooling.

Key Responsibilities
  • Application Development: Design, build, and deploy highly scalable Generative AI and LLM-based production solutions natively on GCP.
  • RAG Implementation: Architect and maintain advanced Retrieval-Augmented Generation (RAG) systems using vector databases like Vertex Matching Engine, Pinecone, or Chroma.
  • API & Microservices Engineering: Develop high-throughput, scalable APIs (via FastAPI, Flask, etc.) and microservices to integrate advanced AI models into foundational business soft.
  • Cross-Functional Collaboration: Partner closely with data scientists, product managers, and business teams to define, refine, and execute organizational GenAI strategies.
  • Optimization & Performance: Apply advanced prompt engineering, model optimization, and rigorous performance evaluation methodologies to ensure application reliability.
Required Skills & Qualifications
  • Professional Experience: Typically 3–7 years of software experience, with a heavy emphasis on Generative AI and LLM application architectures.
  • Programming Mastery: Advanced proficiency in Python, with a strong focus on object-oriented programming (OOP) principles and clean, maintainable coding standards.
  • Deep GCP Expertise: Hands-on experience with the Google Cloud Platform ecosystem, specifically Vertex AI (Model Garden, tuning, pipelines), BigQuery ML, and associated AI services.
  • AI Toolkits & Frameworks: Familiarity with modern LLM frameworks, including Google ADK, LangChain, and LlamaIndex.
  • Infrastructure & MLOps: Knowledge of MLOps practices, containerization (Docker, Kubernetes), continuous integration/deployment (CI/CD) pipelines, and infrastructure as code tools like Terraform is highly advantageous.

Some of our Benefits

NTT DATA is a Global and Australian Top Employer, and holds Family Friendly Workplace accreditation. We believe in bringing out the best in you by providing an environment and flexibility that enables you to thrive at work and at home.

As part of the NTT DATA family, here is a small sample of the benefits you will enjoy:

  • Flexible and hybrid working 

  • Leave options that allow you to contribute to your community, study, or just take time to recharge.

  • A parental leave policy that supports parents and carers.

  • Income protection insurance

  • A comprehensive wellbeing program and associated benefits.

Workplace type:


About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.


Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Skills Required

  • 3-7 years software experience with emphasis on Generative AI and LLM application architectures
  • Experience designing, building, and deploying production Generative AI and LLM solutions
  • Advanced proficiency in Python with strong OOP and clean coding standards
  • Hands-on experience with Google Cloud Platform, specifically Vertex AI and BigQuery ML
  • Familiarity with LLM frameworks and toolkits such as Google ADK, LangChain, and LlamaIndex
  • Experience architecting and maintaining RAG systems using vector databases (Vertex Matching Engine, Pinecone, Chroma)
  • Knowledge of MLOps practices, containerization (Docker, Kubernetes), CI/CD pipelines, and Terraform

NTT DATA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.

  • Fair & Transparent Compensation Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
  • Healthcare Strength Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
  • Wellbeing & Lifestyle Benefits Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.

NTT DATA Insights

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The Company
HQ: Tokyo
55,092 Employees
Year Founded: 1988

What We Do

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity

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