Top 10 Companies Hiring AI Engineers in Fiji in 2026

Table of Contents

• Fiji's AI Job Market in 2026
• Westpac Fiji
• Fiji Revenue & Customs Service
• Telecom Fiji Limited
• University of the South Pacific
• KPMG Fiji AI Hub
• Digicel Fiji
• Fiji National Provident Fund
• Fiji Airways
• ANZ Fiji
• Vodafone Fiji
• Frequently Asked Questions

Westpac Fiji

Westpac Fiji represents a prime opportunity for AI engineers interested in the tangible application of machine learning within retail banking. The bank's strategy focuses on leveraging customer data to automate and personalize core services, moving beyond basic analytics to operational AI. Engineers here work with a stack built for reliability, primarily using Python and R alongside Teradata for processing vast transactional datasets.

Key projects demonstrate this applied focus: building models for hyper-personalized marketing campaigns aimed at Fijian savers, developing fully automated loan approval systems for faster credit access, and implementing real-time transaction monitoring to bolster security. This work is less about blue-sky research and more about integrating robust AI directly into the banking experience for customers from Suva to Savusavu.

The career path is structured within the bank's regional analytics framework, offering exposure to broader Australasian projects while solving local challenges. The hiring process reflects this blend of technical and customer-centric values, typically involving online coding assessments on platforms like HackerRank, data interpretation tests, and multiple interview rounds. Compensation is competitive, with entry-level roles starting around FJD $48k-$62k and senior AI positions capable of reaching $115k+, as noted in regional banking salary analyses.

The impact in Fiji is direct and significant. By using AI to streamline loan approvals and create tailored savings products, Westpac enhances financial accessibility and literacy. This work is a key part of the broader digital transformation of Fiji's financial services sector, playing a crucial role in economic inclusion across the islands.

Fiji Revenue & Customs Service

The Fiji Revenue & Customs Service (FRCS) offers AI engineers a unique chance to work on projects of genuine national significance, operating at the critical intersection of data science, public policy, and security. As a cornerstone of Fiji's digital transformation, FRCS is deploying AI to modernize revenue collection and secure borders in an increasingly digital economy, representing a specialized path in regulatory technology (RegTech).

Engineers within the organization's specialized Data Science cell utilize Python and SQL, often on enterprise-grade platforms like Oracle Data Science, to build mission-critical systems. Core projects include developing AI models to identify complex patterns of tax evasion, implementing computer vision for automated container scanning at ports like Lautoka and Suva, and building predictive models to more accurately forecast national revenue.

The culture within the Modernization division is one of meticulous precision and high accountability, given the sensitivity of the data involved. The hiring process reflects this rigor, involving a written technical exam, a panel interview, and mandatory security clearance. While salaries follow standard civil service bands, technical premiums apply, with roles ranging from FJD $40k to $90k. This path offers deep specialization and the chance to directly shape Fiji's digital governance framework.

The impact is quantifiable in the national budget. By reducing revenue leakage through automated audits and smarter border control, FRCS directly contributes to the efficiency of public spending, funding essential services. This work exemplifies the growing strategic adoption of AI in Fiji's public sector, where code serves the nation's fiscal health and security.

Telecom Fiji Limited

Telecom Fiji Limited (TFL) is at the forefront of a strategic pivot, transforming from a traditional telecom provider into an integrated ICT and infrastructure leader. Central to this "Smart Fiji" vision is the application of AI to manage national infrastructure and deliver intelligent enterprise services, making it a critical player in the country's digital backbone.

The engineering work here involves a hybrid tech stack, utilizing .NET/C# for robust backend system integration alongside Python for machine learning models, with Kafka managing real-time data streams. Projects are diverse and foundational, focusing on developing intelligent automation (RPA) for internal processes, building generative AI tools for multilingual customer support, and creating monitoring systems for smart city infrastructure like public utility grids.

AI engineers operate within an "AI & Automation" practice inside the broader IT and Engineering divisions, ensuring projects are highly applied and tied to tangible outcomes. The culture is pragmatic and engineering-focused. The hiring process emphasizes practical skills, including coding tests and system troubleshooting simulations. Reflecting its role as a major national employer, TFL offers salaries ranging from FJD $35k-$50k for entry-level roles to over $90k for senior positions.

TFL's impact is enabling the "Smart Fiji" vision at a national scale. By integrating AI into utility monitoring and public service platforms, they are helping build more resilient and efficient towns and cities. This work is a key component of the broader growth and investment opportunities within Fiji's ICT sector, showcasing how telecommunications infrastructure is evolving into a platform for national development.

University of the South Pacific

For AI engineers driven by foundational research and profound regional impact, the University of the South Pacific (USP) stands apart. As the Pacific's premier academic institution, it serves as the central hub for AI research tackling the region's most existential challenges, particularly climate change, offering a career path defined by discovery and long-term influence.

The research environment is built on powerful, open-source stacks including Python, PyTorch, and R, supported by high-performance computing (HPC) clusters. Projects are visionary in scope: advanced climate modeling for rising sea levels and cyclone patterns, pioneering Natural Language Processing (NLP) to preserve indigenous Pacific languages, and applying computer vision to problems in sustainable agriculture and marine biology.

This is an academic and research engineering environment within the School of STEMP, where teams of faculty, PhD candidates, and research engineers collaborate on long-term, grant-funded projects. The culture is intellectually rigorous and deeply connected to regional policy. Hiring involves publication reviews, technical presentations, and research proposal defenses. Compensation for a Junior Research Fellow starts around FJD $40k-$55k, while a Senior Research Lead can earn $80k-$120k.

The impact of USP's work is both cultural and scientific, providing the data backbone for regional climate policy and helping preserve intangible heritage. As highlighted in analyses of The State of AI in Fiji, USP is identified as a primary hub for innovation and research activity, defining the future of the entire Pacific region through its AI work.

KPMG Fiji AI Hub

The establishment of KPMG's dedicated AI Hub in Suva in 2024 signalled a deep, localized commitment to leading Fiji's corporate sector into the AI age. This hub is the destination for engineers who want to shape strategy and implementation, acting as the crucial bridge between global AI capabilities and the specific needs of Fiji's largest businesses and exporters.

Leveraging platforms like Microsoft Azure OpenAI Service and Python, the hub builds tailored, client-driven solutions. Projects are diverse, encompassing the implementation of Generative AI for corporate governance and reporting, developing automated tax compliance systems aligned with FRCS requirements, and optimizing supply chain logistics for Fiji's major agricultural and tourism exporters.

Engineers join a client-facing team of consultants and technical builders, where the culture is fast-paced, project-based, and demands strong communication skills to translate complex technology into clear business value. As highlighted in the KPMG Global Tech Report 2026, this advisory role is critical as enterprises move from experimentation to strategic deployment. The hiring process typically involves case-based interviews and AI strategy presentations, with competitive salaries seeing senior roles reach FJD $115k+.

KPMG's impact is modernizing Fiji's entire corporate framework. By implementing robust AI governance and driving operational efficiency, the hub elevates local businesses to meet international standards, directly boosting Fiji's competitiveness as a Pacific business and investment hub.

Digicel Fiji

Following its acquisition by Telstra, Digicel Fiji (operating as Digicel Pacific) has significantly accelerated its investment in AI, focusing on two critical areas: ensuring network resilience across its vast Pacific footprint and deepening customer engagement. This creates an ideal environment for engineers interested in large-scale, real-time systems that serve diverse island communities.

The tech stack is modern and cloud-native, built around Python, AWS, Kubernetes, and Scikit-learn. Key projects involve Customer Value Management (CVM) analytics to tailor offerings for different markets, automated AI-driven network traffic routing to maintain optimal performance, and building recommendation engines for digital content services - a vital offering for remote maritime communities with limited connectivity options.

AI engineers join the Digicel Pacific Group Data Science team, which frequently collaborates with counterparts in Australia, offering a blend of local problem-solving and exposure to regional-scale technology. The culture is agile and results-oriented. Their hiring process often includes a technical screening, a take-home ML project focused on practical model deployment, and behavioral interviews. Salary bands are competitive, ranging from FJD $45k to over $100k for senior positions.

Digicel's fundamental impact is about bridging the digital divide. By using AI to optimize signal distribution and predict network issues, they ensure that even Fiji's most remote islands remain connected. This reliable connectivity, powered by intelligent systems, is vital for education, commerce, and community, aligning with the growing number of tech roles focused on regional digital inclusion.

Fiji National Provident Fund

As the guardian of retirement savings for much of Fiji's workforce, the Fiji National Provident Fund (FNPF) applies AI with a profound sense of fiduciary responsibility. The work here transcends typical analytics; it's about ensuring long-term stability, mitigating risk, and directly optimizing the financial future of members and their vuvale (families).

The technical environment prioritizes reliability, utilizing SQL and Python alongside enterprise-grade predictive modeling platforms like SAS or IBM SPSS. Projects are strategically critical: building predictive analytics models for member withdrawal and contribution trends, developing sophisticated fraud detection systems for pension claims, and using AI to optimize the fund's massive investment portfolio for sustainable returns.

The Data Analytics unit operates within the Risk and Investment department, placing it at the heart of strategic decision-making. The culture is meticulous and governed by strict data protocols, deeply aligned with the fund's member-first mission. The hiring process is known for its rigor, including extensive background checks, mathematical logic tests, and multi-panel interviews. Salaries offer competitive government-linked rates, with senior technical roles capable of reaching FJD $110k+.

The impact is the financial security of generations. By employing AI for smarter investment strategies and proactive fraud prevention, FNPF ensures the longevity and stability of the national retirement scheme. This work is a cornerstone of social welfare and a prime example of how AI is being leveraged for public good in Fiji's institutions, where every algorithm serves the collective future.

Fiji Airways

Fiji Airways represents a powerhouse of practical AI application, where technology directly fuels the nation's most vital industry: tourism. Here, engineers see an immediate, tangible link between their models and Fiji's economic prosperity, working on high-stakes operational problems that affect everything from ticket prices to carbon footprints.

The team utilizes Microsoft Azure AI services, Python, and R to build systems with direct business impact. Flagship projects include a dynamic pricing engine for flight seats that maximizes revenue, predictive analytics models for optimizing fuel consumption on long-haul routes like Nadi-Los Angeles, and NLP chatbots designed to personalize the entire tourism experience from the first booking inquiry.

Engineers work within a small, high-impact Digital Transformation team that reports directly to senior leadership, ensuring significant ownership and visibility. The culture is lean, agile, and deeply embedded in the aviation domain. The hiring process focuses on domain-specific case studies and technical system design interviews. Salaries reflect this specialized, high-impact work, ranging from FJD $40k-$55k at entry-level to $95k+ for senior engineers.

The impact is measured in both GDP and sustainability. By maximizing tourism yield through intelligent pricing and reducing the environmental footprint via fuel optimization, Fiji Airways uses AI to ensure the national carrier - and the industry it supports - operates at peak competitive and environmental efficiency. This strategic adoption aligns with the broader patterns of AI deployment in 2026, where clear strategy and operational integration deliver the greatest advantage.

ANZ Fiji

ANZ Fiji's Suva hub serves as a critical node for regional banking operations, where AI work is characterized by mature data governance and a sophisticated focus on financial risk modeling at scale. This is where advanced predictive analytics meets the structured world of international finance, offering engineers a clear path within a global institution.

The engineering stack is built for handling large, complex datasets, utilizing Python, SQL, and AWS SageMaker, often with Spark for distributed processing. Core projects involve building and refining credit risk models for both retail customers and SMEs across the Pacific, creating systems for hyper-personalized retail banking offers, and developing advanced pattern recognition for anti-money laundering (AML) surveillance.

Engineers join a regional data science squad operating under the Global Data & Analytics umbrella, offering a structured career path with exposure to international best practices. The culture is professional and emphasizes robust model governance and explainability. The multi-stage hiring process includes SQL/Python assessments, detailed data case studies, and culture-fit interviews. Compensation reflects this high level of specialization, with mid-level roles paying FJD $75k-$100k and senior positions exceeding $120k.

ANZ's AI work is a pillar of regional economic stability. By automating and improving credit assessments, they enable responsible lending to Fijian and Pacific Island businesses, directly fostering entrepreneurship and growth. This strategic, risk-aware deployment of AI exemplifies the trend noted in the KPMG Global Tech Report 2026, where competitive advantage comes not from having the most AI, but from having the clearest strategy for its deliberate use.

Vodafone Fiji

Topping our list is Vodafone Fiji, the undisputed digital leader in the Pacific where AI functions not as a support tool but as the core nervous system of its entire operation. From telecommunications to revolutionary fintech via M-PAiSA, Vodafone offers the most diverse and high-impact AI portfolio in the country, representing the largest platform for transformative engineering work in Fiji.

The integrated AI & Data Science team operates with a modern, powerful stack including Python, TensorFlow, PyTorch, and Google Cloud's Vertex AI. Their projects span critical infrastructure: AI for telecom network optimization and predictive maintenance, sophisticated churn prediction models, and most significantly, AI-powered financial fraud detection for the M-PAiSA mobile money platform - a system vital for national financial inclusion and security.

The team structure is flat and innovative, working in a collaborative, "customer-first" environment alongside BI and automation units. As highlighted in analyses of the AI infrastructure opportunity for telcos, companies like Vodafone are uniquely positioned to leverage AI at scale. Their hiring involves online aptitude tests, technical Python coding rounds, and behavioral interviews focused on innovation, with highly competitive salary bands from FJD $45k-$60k at entry-level to $100k+ for lead positions.

Vodafone’s daily impact is unparalleled in its reach. By securing mobile money transactions for the unbanked, ensuring network reliability across all islands, and personalizing digital services, they are not just using AI - they are using it to build the essential digital infrastructure of modern Fiji, directly shaping how the nation connects and thrives.

Frequently Asked Questions