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HCLTech - Australia and New Zealand Linkedin · Posted 22d ago

Senior AI Engineer

New Zealand

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Indexed description

“We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.


The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.


Are you ready to be an important part of this ever-transformational journey?


Senior AI Engineer – GenAI & Intelligent Automation


Location: Auckland NZ or Sydney Australia (Hybrid)


Experience: 8+ Years Overall | 4+ Years in AI/ML, GenAI, Data Engineering, Intelligent Automation, or related fields


About the Role

We are looking for a highly skilled and hands-on Senior AI Engineer to design, build, and deliver enterprise-grade Generative AI solutions that create tangible business value. This role requires deep Python engineering expertise, practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native architectures.


As a Senior AI Engineer, you will lead the end-to-end delivery of AI-powered applications, drive technical decision-making, mentor engineering teams, and collaborate with business stakeholders to transform complex requirements into scalable, secure, and responsible AI solutions.


Key Responsibilities

  • Design, develop, and deliver enterprise-scale GenAI solutions and reusable AI engineering frameworks.
  • Build and optimize AI application pipelines across:
  • Data ingestion
  • Knowledge retrieval
  • Context grounding
  • Response generation
  • Evaluation and monitoring
  • Develop AI-powered search, knowledge discovery, and intelligent workflow automation capabilities.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures to improve response quality, relevance, and reliability.
  • Enhance AI solution performance through vector search optimization, prompt engineering, retrieval design, and quality controls.
  • Collaborate with architects, product owners, developers, and business stakeholders to define and implement AI use cases.
  • Lead technical design discussions and make architecture decisions for scalable AI platforms.
  • Provide mentorship and technical guidance to engineering teams while promoting engineering best practices.
  • Ensure AI solutions align with security, governance, compliance, and Responsible AI principles.
  • Support deployment, observability, and continuous improvement of AI applications in cloud environments.


Required Skills & Experience

Must-Have Skills

  • 8+ years of overall software engineering experience.
  • 4+ years of experience in AI/ML, GenAI, data engineering, intelligent automation, or related domains.
  • Strong expertise in Python development for AI and backend engineering.
  • Hands-on experience building and deploying LLM-powered enterprise applications.
  • Strong understanding of:
  • Retrieval-Augmented Generation (RAG)
  • Vector databases and semantic search
  • Prompt engineering and grounding techniques
  • LLM orchestration frameworks
  • Experience designing and delivering cloud-native AI solutions in enterprise environments.
  • Strong problem-solving skills with the ability to work independently and lead complex technical initiatives.
  • Excellent stakeholder management and communication skills.


Good-to-Have Skills

  • AI evaluation frameworks, guardrails, hallucination mitigation, and response quality tuning.
  • Experience with source-code analysis, dependency mapping, or application intelligence solutions.
  • Data mapping, document ingestion frameworks, and human-in-the-loop AI workflows.
  • Front-end development experience for building AI-enabled user experiences.
  • Exposure to modern cloud platforms such as AWS, Azure, or GCP.
  • Experience working with enterprise governance, security, and Responsible AI frameworks.


Why Us

We are one of the fastest-growing large tech companies in the world, with offices in 50+ countries across the globe and 219,000 employees

  • Our company is extremely diverse with 165 nationalities represented
  • We offer the opportunity to work with colleagues across the globe
  • We offer a virtual-first work environment, promoting a good work-life integration and real flexibility
  • We offer comprehensive benefits for all employees
  • We are a certified great place to work and a top employer in 17 countries, offering a positive work environment that values employee recognition and respect


Equality & Opportunity for All

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, Aboriginal and Torres Strait Islander people or any other protected classification, in accordance with federal, state, and/or local law.


Candidate Data Privacy Notice | HCL Technologies

We are committed to respecting your privacy and for the protection of your personal data. Your personal data will be collected and processed in line with our candidate privacy notice: https://www.hcltech.com/candidate-privacy-notice. This privacy notice will help you to understand what personal data we collect about you, how we use this personal data, and what rights you have regarding your personal data. By replying to this email or submitting any personal data to HCLTech, you acknowledge that you have read and understood the candidate privacy notice and have provided your consent to the processing of your data for recruitment purposes as described in the privacy notice”.

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