Senior AI Engineer

GFT · Hanoi, Vietnam · On site · September 28, 2026

Sign up to apply
Your first one is free
Posted September 28, 2026 · Read from GFT
Why a CV for this job?

94% of employers say their filters drop qualified candidates whose CV does not match the ad's exact criteria (Harvard Business School, 2021).

  • They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
  • It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
  • In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
  • Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
See an example

About GFT

GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI transformation solutions, modernize technology architectures and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Robotics. Partnering closely with our clients, we push boundaries to unlock their full potential. With deep industry expertise, cutting-edge technology, and a strong partner ecosystem, GFT delivers responsible AI-centric solutions that combine engineering excellence, high-performance delivery and cost efficiency. Our team of 12,000+ technology experts operates in 20+ countries worldwide offering career opportunities at the forefront of software

Role Summary

We are looking for an experienced AI Engineer to support the development and implementation of AI solutions within a leading global insurance company. The role will focus on designing, developing, integrating, and productionizing AI/ML and Generative AI solutions within a Microsoft Azure and Databricks-based data environment. The successful candidate will work closely with business, data, and technology teams to translate business use cases into practical and scalable AI solutions. The ideal candidate has strong Python and AI engineering skills, practical experience with Azure and Databricks, and hands-on exposure to modern Generative AI, LLM, and AI agent technologies.

Key Responsibilities

Design, develop, and implement AI/ML and Generative AI solutions using Azure and Databricks

Work with business and technology stakeholders to understand requirements and translate business problems into practical AI solutions

Develop, test, and integrate AI models and AI-powered services and applications

Build AI solutions leveraging enterprise data available through the Databricks platform

Develop and integrate LLM-based and AI agent solutions where appropriate

Collaborate with Data Engineers to identify, prepare, and consume appropriate datasets for AI workloads

Design and implement approaches for evaluating the quality, accuracy, reliability, and performance of AI solutions

Support the integration of AI capabilities with existing enterprise applications and platforms

Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions

Maintain appropriate technical documentation covering solution design, models, prompts, integrations, and dependencies

Follow enterprise standards relating to development, security, governance, and responsible use of AI

Required Skills & Experience

At least 4 years of experience in AI/ML Engineering, Machine Learning Engineering, Data Science with strong engineering responsibilities, or similar roles

Strong hands-on development experience with Python

Practical experience developing and implementing AI/ML solutions

Hands-on experience with Generative AI, Large Language Models, or similar modern AI technologies

Experience working with Microsoft Azure and cloud-based AI/data environments

Practical experience with Databricks

Experience integrating AI models or AI services into enterprise applications and workflows

Good understanding of APIs, data pipelines, and software engineering principles

Understanding of AI/ML model evaluation, testing, monitoring, and production deployment

Strong analytical, problem-solving, and troubleshooting skills

Ability to communicate effectively with both business and technical stakeholders

Preferred Qualifications

Hands-on experience with Databricks Genie

Experience developing AI agents, RAG solutions, or LLM-based enterprise applications

Experience with Azure AI capabilities and the wider Azure AI ecosystem

Experience with prompt engineering, LLM evaluation, and AI solution optimization

Experience working with enterprise data platforms and large datasets

Experience within insurance, financial services, or another regulated industry

Understanding of AI governance, security, privacy, and responsible AI considerations

Experience working in Agile delivery environments

Key Behavioral Expectations

Strong ownership and ability to independently drive AI use cases from problem definition through implementation

Curious and hands-on mindset with an interest in emerging AI technologies

Strong problem-solving and experimentation skills while remaining focused on practical business outcomes

Clear communication with business and technical stakeholders

Pragmatic, collaborative, and delivery-focused approach

Ability to work effectively in an evolving technology environment

(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)

Employer
GFT
Location
Hanoi, Vietnam · On site