Top 10 Companies Hiring AI Engineers in Papua New Guinea in 2026

Table of Contents

• What's in Your Bilum?
• NICTA
• University of Technology (Unitech)
• ExxonMobil PNG
• Telikom PNG / DataCo
• Ok Tedi Mining Limited (OTML)
• Newmont (Lihir Gold Mine)
• Santos (PNG Operations)
• Digicel PNG
• Kina Bank
• Bank South Pacific (BSP)
• The Bottom Line: What’s in Your Bilum?
• Frequently Asked Questions

NICTA

As the national ICT regulator, NICTA has moved beyond simply setting rules. In 2026, it is running pilot projects in spectrum management using machine learning and building the data governance frameworks for the National Digital ID program. According to an ABC Pacific report on PNG's AI race, Prime Minister James Marape has declared that this year will be the "engine room of AI in government decision-making" - a directive that places NICTA at the centre of national digital transformation.

What you will actually build here differs from private sector roles. You will not ship production models at scale. Instead, you will design AI governance frameworks that every other organisation in PNG must follow, develop GIS platforms to map spectrum allocation, and create auditing tools for public sector AI systems. The salary range of PGK 70,000 - 160,000 is lower than mining or banking, and the pace is government-speed. But as experts at the AI Summit 2026 in Port Moresby emphasised, reliable data governance is the prerequisite for all other AI adoption in the country.

Why does NICTA rank lower on total package value? The salary does not compete with Santos or BSP, and the work lacks the product ownership of Kina Bank. But if you care deeply about how AI gets used in PNG - not just how to make money from it - this is where you set the rules that everyone else must follow. For engineers who want to shape national policy and leave a structural mark on the country's digital future, NICTA offers unmatched influence.

University of Technology (Unitech)

In Lae, the University of Technology (Unitech) has become the centre of applied AI R&D in Papua New Guinea. Active projects include NLP for Tok Pisin translation, remote sensing for coffee and cocoa agriculture, and computer vision for infrastructure monitoring in the Highlands. According to a detailed analysis from the AI Summit 2026, universities are critical to building the reliable, localised datasets that PNG's AI future depends on.

What you will actually build here is unlike any private-sector role. You will develop the first large-scale datasets for PNG-specific languages, train models using academic cloud grants from AWS and Azure, and publish papers that put PNG on the global AI map. The salary scale is the lowest on this list - PGK 40,000 - 100,000 - but many academics supplement income with private industry consulting for banks and mining companies. As national development plans for AI and blockchain take shape, Unitech's research directly informs policy and industry practice.

Why rank Unitech lower? The academic salary cannot match BSP or Santos, and there are no quarterly profit targets pushing models into production. But if you want freedom to experiment, no corporate deadlines, and the chance to shape the next generation of PNG AI engineers, Unitech offers unmatched autonomy. The distinctive advantage: you will build datasets and models that no Silicon Valley lab will ever prioritise - Tok Pisin NLP, cocoa disease detection from drone imagery, and road condition monitoring for the Highlands Highway. That work matters deeply to PNG's future.

ExxonMobil PNG

At the PNG LNG project, a single model error can trigger a production shutdown costing millions of kina per day. ExxonMobil PNG operates one of the most complex engineering investments in the Southern Hemisphere, and their AI/ML work sits within broader Digital Engineering roles in a massive global operations team. According to ABC Pacific's coverage of PNG's AI race, energy companies are increasingly relying on machine learning to optimise multi-billion dollar infrastructure.

What you will actually build: energy efficiency models to optimise the LNG processing chain, and local community impact monitoring using satellite and survey data. The salary sets the benchmark for PNG tech roles at PGK 100,000 - 300,000+, following global Exxon pay scales. But the tech stack is proprietary - you will work within Exxon's global systems rather than choosing your own tools. As noted in the LinkedIn software jobs page for PNG, roles at ExxonMobil are often integrated into larger engineering teams rather than dedicated AI squads, limiting the scope for pure machine learning work.

Why does ExxonMobil rank lower despite the market-leading salary? The hiring bar is extremely high, requiring global-standard interviews and domain knowledge in petrochemical engineering. The work is high-stakes and safety-critical, demanding comfort with site visits to LNG facilities and a culture where precision trumps experimentation. If you want maximum earning potential and the prestige of working on PNG's largest industrial project, this is a strong option. But if you value tool freedom and pure AI focus, a bank or telecom may serve you better.

Telikom PNG / DataCo

As state-owned enterprises under the Kumul Consolidated Holdings umbrella, Telikom PNG and DataCo manage the national telecommunications backbone and retail internet infrastructure. They are critical to the government's Digital Government Plan, which aims to transform public services through connectivity. According to ABC Pacific's report on PNG's digital push, the Coral Sea Cable remains the country's primary international link, and protecting it is a national security priority.

What you will actually build here: cybersecurity threat detection models to protect the Coral Sea Cable and national internet infrastructure from attacks, and dynamic bandwidth allocation algorithms to optimise connectivity across PNG's fragmented geography. You will work with network-focused ML, Cisco-integrated analytics, and open-source stacks. When you improve model accuracy here, you are directly improving internet access for schools, hospitals, and businesses from Port Moresby to the most remote Highlands villages. As the Post-Courier's national development plan highlights, reliable digital infrastructure is the prerequisite for all AI adoption in PNG.

The salary follows SOE pay scales: PGK 60,000 - 150,000, decent but not market-leading. This is why Telikom/DataCo ranks lower on total package value. But the distinctive advantage is unmatched: you are building the Digital Foundation of the entire country. No mining company or bank can offer that scope of national impact. For engineers who want their work to touch every citizen, from a student in a remote school to a nurse in a provincial hospital, this is the place.

Ok Tedi Mining Limited (OTML)

At Tabubil in the Star Mountains, Ok Tedi Mining Limited operates as a 100% PNG-owned company that is a major contributor to the national economy. In 2026, OTML is investing heavily in AI for operational technology, with a focus on Scada data and Python-based models. According to national development plans highlighted by the Post-Courier, OTML is recognised for driving innovation in sustainable practices and automation within the mining sector.

What you will actually build here is deeply tangible. Tailings dam monitoring systems using sensor data and predictive models to prevent environmental disasters. Logistics optimisation algorithms for river shipping along the Fly River - a critical supply chain where a 1% improvement in shipping efficiency saves millions of kina. These are not academic exercises; the models directly impact PNG's GDP through operational efficiency. The salary range of PGK 80,000 - 200,000+ includes strong retention bonuses for PNG nationals, and OTML prioritises internal career progression.

The remote location in Tabubil, Western Province, is a significant lifestyle constraint. You will live on-site with limited access to urban amenities. But for engineers who want to see their work move the needle for the national economy, OTML offers a rare combination of local ownership, tangible impact, and strong retention incentives. The distinctive advantage: you are working for a company that is 100% PNG-owned and directly shaping the country's economic future, not a multinational with distant headquarters.

Newmont (Lihir Gold Mine)

On Lihir Island in New Ireland Province, Newmont operates one of the world's largest gold mines in a unique tropical volcanic environment. Their AI work sits within Operational Technology (OT) and integrates with Newmont's global "Integrated Planning and Control" centres. The distinctive challenge: extreme humidity, temperature swings, and remote connectivity that create data problems no Silicon Valley engineer will ever face. According to insights from the AI Summit 2026, mining companies are at the forefront of using machine learning to modernise manual processes in challenging environments.

What you will actually build: autonomous haulage optimisation models to move ore more efficiently across the mine site, ore grade prediction using computer vision on drill core samples to reduce waste, and pit stability monitoring using sensor data to prevent catastrophic failures. The salary is highly competitive at PGK 100,000 - 250,000+, with an additional 20-30% site allowances for FIFO workers flying in from Port Moresby or Brisbane. As noted in PNG's tech recruitment landscape, these roles also require domain knowledge in mining and remote site medical clearances.

The hiring process includes domain knowledge tests in mining and rigorous medical clearances for remote site access. You must be comfortable with FIFO lifestyle and living on a tropical island with limited amenities. But for engineers who want to work with hyperspectral imaging and geospatial data in a truly unique environment - combining cutting-edge computer vision with one of the world's largest gold operations - Newmont offers an unparalleled technical challenge. The distinctive advantage: your models run in a volcanic, tropical setting that tests the limits of sensor hardware and ML robustness.

Santos (PNG Operations)

Following the merger with Oil Search, Santos is a major energy company operating the PNG LNG project. Their Digital & Technology team is based in Port Moresby and Brisbane, supporting one of the most capital-intensive engineering operations in the Pacific. The stakes here are life-and-death: a model error predicting pipeline integrity could trigger an environmental disaster costing hundreds of millions of kina. According to ABC Pacific's analysis of PNG's AI adoption, energy companies are increasingly turning to machine learning to manage safety-critical infrastructure in remote environments.

What you will actually build: pipeline integrity monitoring using sensor data and predictive models, equipment failure prediction to prevent unplanned shutdowns that cost millions per day, and carbon emission tracking models for regulatory compliance. The distinctive feature: model accuracy here prevents massive environmental and safety risks. The salary ceiling is the highest on this list for senior roles with site allowances: PGK 70,000 - 400,000+. But the hiring process is rigorous, including technical screening and safety/health clearances for FIFO site visits to remote LNG facilities.

Why does Santos rank higher than Newmont or ExxonMobil? The salary ceiling is unmatched, and the work combines cutting-edge ML with genuine national importance. However, you must be comfortable with a FIFO lifestyle and a culture where precision trumps experimentation. As The National reported on AI's role in shaping jobs, the net gain in new AI-linked roles across PNG's resource sector is expected to be significant by 2030. For engineers who thrive on high-stakes, safety-critical applications and want the highest earning potential in PNG, Santos is the clear choice.

Digicel PNG

Under Telstra ownership, Digicel PNG remains the dominant telecommunications provider and is investing heavily in AI, 5G, and fintech. The tech stack is Telstra-aligned with GCP and Azure, and the team uses Python, R, and Spark for large-scale telco data analysis. Identified as a "company to watch" for AI innovation in PNG, Digicel's local team in Port Moresby focuses on market-specific deployment across the Pacific regional hub.

What you will actually build here is unlike any other employer. Network traffic optimisation models allocate bandwidth dynamically across PNG's fragmented geography, where a single cell tower failure can cut off an entire valley. Predictive maintenance for cell towers in remote areas means a model that anticipates failure before it happens - sending a technician to a Highlands site costs thousands of kina, so every correct prediction saves real money. You will also build customer sentiment analysis on social media and call centre data to improve service. The distinctive work: deploying AI at the "Edge" in areas with zero connectivity, where models must run on devices without internet access.

The salary ranges from PGK 55,000 for junior roles to PGK 300,000+ for senior positions, with expat packages often including housing and schooling. The hiring process includes multistage interviews with a technical deep dive involving the regional team in Australia or Singapore. Why rank Digicel at #3? The combination of competitive salary, modern cloud-native stacks, and the unique challenge of Edge AI in PNG's remote geography creates unmatched learning opportunities. For engineers who want to solve real infrastructure constraints - not just optimise banking apps - Digicel offers the most distinctive technical challenge on this list.

Kina Bank

As the digital-first challenger to BSP, Kina Bank has built a modern tech stack that sets it apart: AWS, Python, and Snowflake, adopting best-in-class patterns from Australian banking partners. The agile squad structure means engineers own the product-ML fit, not just deliver models to a centralised team. According to StreamTech Knowledge's ranking of technology companies in PNG, Kina Bank is recognised as a leading financial institution focusing on fintech and AI to improve banking services and secure financial transactions.

What you will actually build here is production-ready and locally critical:

• Automated KYC/onboarding using computer vision on ID documents, reducing manual processing time
• Churn prediction models that identify customers at risk of leaving and trigger retention campaigns
• Personalised marketing engines for the Kina Bank app, delivering relevant offers based on transaction history

A key challenge: designing AI that functions reliably across varying internet speeds in PNG's highlands, where a model must work on a weak 3G connection as smoothly as on fibre in Port Moresby.

The salary ranges from PGK 50,000 for junior roles to PGK 280,000 for senior positions, competitive with BSP but with the advantage of a more modern tech stack. The hiring process focuses on practical delivery: a coding challenge followed by a presentation to Digital leadership on how you would solve a real product problem. Why rank Kina Bank at #2? It offers the best balance of modern cloud-native tools, competitive pay, and genuine local autonomy. Unlike BSP's on-premise Azure infrastructure, Kina runs on AWS with Snowflake - giving engineers the tools to build at speed. For engineers who want product ownership without the bureaucracy of a traditional bank, this is the place.

Bank South Pacific (BSP)

Bank South Pacific is PNG's largest retail bank with a massive regional footprint across the Pacific. Their centralised Data & Analytics team sits within Group Risk and IT in Port Moresby, comprising 5-10 data scientists and ML engineers. When you deploy a model here, you serve a largely unbanked population via USSD and mobile channels - not just app users in Port Moresby. According to the AI Summit 2026 report on PNG adoption, reliable data governance is critical to serving these underserved markets.

What you will actually build here has real impact on financial inclusion. Real-time fraud detection for mobile banking transactions protects customers who often have no recourse if money disappears. Credit scoring models for rural lending use alternative data - mobile money patterns, USSD usage - to extend credit to people without formal credit histories. ATM cash flow forecasting reduces downtime across hundreds of locations, ensuring families in remote provinces can access their money when needed. The distinctive advantage: scaling AI to service customers who have never used a banking app, where models must work on feature phones with USSD interfaces. As national development plans for AI highlight, this kind of inclusive technology is central to PNG's digital future.

The salary ranges from PGK 45,000 for junior roles to PGK 250,000+ for senior positions, plus performance bonuses. The hiring process is straightforward: a SQL/Python technical assessment followed by a case study interview. BSP offers the widest scope of impact across the Pacific region - your work touches multiple countries, not just one. The tech stack is primarily on-premise with hybrid cloud (Azure) integration, using SQL Server, Python, and PowerBI. For engineers who want their models to serve the most underserved populations in the region, BSP is the clear #1 choice.

The Bottom Line: What’s in Your Bilum?

Stop asking "Which company is best?" Start asking "Which company fits my constraints, my growth, my life?" The AI job market in PNG in 2026 is like Gordons Market: there are many good options, but only you know what your family needs tonight. The market teaches us that the right choice depends on what you're carrying in your bilum - your tolerance for FIFO life, your desire for modern tools, your need for national impact. As ABC Pacific reported on PNG's AI race, the country is racing to adopt artificial intelligence, but the pace and path must fit each individual's circumstances.

Here is how to match your priorities to the right employer:

• If you want the highest salary and can handle FIFO life: Santos or Newmont, with packages reaching PGK 400,000+
• If you want modern tech stacks and product ownership: Kina Bank, running AWS and Snowflake
• If you want the widest impact across the Pacific: BSP, serving unbanked populations via USSD
• If you want to shape national policy: NICTA, setting the rules for AI governance
• If you want research freedom and academic publishing: Unitech, building Tok Pisin NLP datasets
• If you want to build the digital backbone: Telikom PNG/DataCo, improving connectivity for all citizens
• If you want Edge AI challenges: Digicel PNG, deploying models in areas with zero connectivity

The AI Summit 2026 in Port Moresby confirmed what every PNG engineer knows: there is no universal ladder. Evaluate each opportunity by what matters to you - your family, your career stage, your appetite for risk. The market rewards those who know what they carry in their bilum. Choose accordingly.

Frequently Asked Questions