Lead / Senior Lead / Principal AI Engineer - AI Engineering at IFS SOLUTIONS ASIA PACIFIC PTE LTD

Colombo, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Generative AI, Machine Learning, Python, Java, C#, Go, TypeScript, RAG, LLM Integration, Cloud-native architectures, CI/CD, Agentic systems, Software architecture, Technical leadership, Mentoring

Industry

Software Development

Description

Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description We are looking for an experienced and driven Lead / Senior Lead / Principal AI Engineer to join our R&D AI Engineering team. In this role, you will play a critical part in shaping, building, and scaling AI-native solutions across our products, with a strong focus on Applied AI, Generative AI, and agentic systems. You will lead the design and delivery of complex AI/ML systems end-to-end, covering model integration, advanced retrieval-augmented generation (RAG), agent-based architecture, evaluation frameworks, and production-grade AI platforms. This role requires deep technical expertise, strong architectural judgment, and the ability to leverage emerging agentic AI frameworks and AI-assisted development tools to accelerate delivery while maintaining enterprise-grade quality, safety, and reliability. Tasks included but not limited to: • Design, implement, and evolve production-grade AI/ML and Generative AI architectures, including advanced RAG systems and agent-based workflows. • Lead integration of LLMs and AI services into enterprise platforms, ensuring scalability, security, and reliability. • Drive architectural decisions, perform trade-off analysis, and author high-quality design artifacts and ADRs for complex systems. • Build and standardize AI evaluation and testing frameworks covering quality, reliability, safety, bias, and performance. • Leverage agentic AI frameworks and AI-assisted development tools to build, debug, troubleshoot, and ship features efficiently to production. • Collaborate closely with Product, Architecture, Data, and Platform teams to align AI solutions with business outcomes. • Mentor and coach engineers, lead technical reviews, and guide teams through complex problem-solving. • Proactively improve AI engineering practices, tooling, and standards across the organization. • Stay ahead of advancements in Applied AI and contribute to strategic experimentation and innovation initiatives. Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or a related field (or equivalent practical experience). • Significant experience delivering and owning complex, high-impact software or AI systems. • Advanced proficiency in one or more mainstream programming languages such as Python, Java, C#, Go, or TypeScript. • Strong expertise in Applied AI, including LLM integration, advanced prompt and context engineering, advanced RAG architectures, agent frameworks, and AI evaluation. • Experience with cloud-native architectures, CI/CD pipelines, and operating AI systems in production. • Ability to lead technical direction, mentor engineers, and influence architectural decisions across teams. • Strong written and verbal communication skills with the ability to engage both technical and non-technical stakeholders. • Demonstrated ability to rapidly adopt new AI frameworks, tools, and paradigms and apply them effectively in real-world delivery. If you are motivated to shape the future of AI-powered enterprise software and lead engineering excellence at scale, we encourage you to apply. Additional Information We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. IFS Referral Bonus Code: SH Job Location: Hybrid

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Lead the design and delivery of production-grade AI/ML and Generative AI architectures, including advanced RAG systems and agent-based workflows. Collaborate with cross-functional teams to integrate LLMs into enterprise platforms while mentoring engineers and driving technical standards.