Lead Gen AI Engineer (GCP)

Posted 21 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Lead design, build, and deploy production-grade Generative AI solutions. Architect and optimise RAG pipelines and vector DBs, integrate AI via secure APIs/microservices, manage prompt lifecycle, implement MLOps/versioning/monitoring, and mentor engineering teams.
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 Lead Gen AI Engineer to deliver projects across AI transformation initiatives within top organisations in Australia.

The Lead Generative AI Engineer will spearhead the end-to-end design, development, and deployment of cutting-edge Generative AI solutions across multi-cloud environments. This role demands a blend of deep technical expertise in Large Language Models (LLMs) and proven engineering leadership to guide technical teams, optimize production-grade AI systems, and establish robust backend architectures.

Key Responsibilities
  • Solution Leadership: Lead the end-to-end lifecycle of GenAI-based solutions, driving architectural design, hands-on coding, and production deployment.
  • Advanced Pipeline Engineering: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines, manage vector databases, and implement sophisticated prompt optimization techniques.
  • System Integration: Implement industry best practices for APIs, microservices, and secure backend components to seamlessly integrate AI capabilities into enterprise systems.
  • Prompt Lifecycle Management: Design, evaluate, and systematically tune system and user prompts to optimize for accuracy, minimize latency, and enforce safety guardrails.
  • MLOps & Governance: Establish model versioning, continuous testing, and real-time monitoring workflows to track model performance and mitigate data drift.
  • Technical Mentorship: Provide expert-level troubleshooting, system optimization, and technical guidance to team members.

Required Technical Skills & Qualifications
  • Software Engineering Foundation: 5+ years of hands-on experience designing, developing, and implementing scalable software solutions, with mastery of Python.
  • Leadership Capability: At least 2 years of experience leading technical teams or complex engineering projects.
  • Generative AI Expertise: Comprehensive knowledge of LangChain/ADK, Prompt Engineering, and model evaluation methodologies.
  • Cloud Competency: Proven hands-on experience navigating cloud environments such as AWS, Azure, or GCP.
  • Modern Tooling & Dev Practices: Familiarity with next-generation coding environments (e.g., Cursor, Windsurf), automated unit testing, rigorous coding standards review, and DevOps/CI-CD pipelines
  • Credentials: Relevant certifications in AI/ML, specialized cloud platforms, or advanced software technologies are highly preferred.

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

  • 5+ years designing, developing, and implementing scalable software solutions with mastery of Python
  • At least 2 years leading technical teams or complex engineering projects
  • Comprehensive knowledge of LangChain and ADK
  • Expertise in Prompt Engineering and prompt lifecycle management
  • Experience with model evaluation methodologies
  • Proven hands-on experience with cloud environments (AWS, Azure, or GCP)
  • Familiarity with modern coding environments (e.g., Cursor, Windsurf)
  • Experience with automated unit testing, coding standards reviews, and DevOps/CI-CD pipelines
  • Relevant certifications in AI/ML, cloud platforms, or advanced software technologies

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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