Senior AI Engineer

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)