Lead Software Engineer (AI Enabled Solutions)

Great Eastern; Kuala Lumpur; On-site; MYR 240,000 - 420,000; Full time

Job summary

Great Eastern is seeking a Lead Software Engineer (AI Enabled Solutions) to collaborate with business users, analysts, PMs, and stakeholders, delivering AI-enhanced projects on time and to high quality standards.

You will design, develop, and integrate AI features, build RAG pipelines with LLMs, and ensure robust production deployments across cloud platforms, while mentoring teams and maintaining architectural integrity.

Qualifications

• Bachelor degree in Computer Science, Business Information Systems, Insurance, or related area preferred.
• 8 to 12 years of relevant professional experience, including 2+ years integrating AI/LLM features into production apps.
• Advanced design and programming abilities with Java/J2EE and server-side tech (Struts, Spring, Hibernate, REST APIs).
• Strong SQL/PLSQL background; capability to work with microservices architecture.
• Experience in AI-assisted tools, LLMs, RAG pipelines, and production cloud deployments.

Responsibilities

• Lead design, development, testing, deployment, and post‑deployment verification of AI-enabled solutions.
• Integrate AI technologies into core app development processes using AI-assisted tools and LLMs.
• Review code, mentor teams, and ensure timely delivery of enhancements and new features.
• Oversee deployment, monitoring, and optimization on cloud platforms; manage costs and safety measures.

Skills

Java/J2EE

REST APIs

SQL/PLSQL

AI integration

LLMs

Leadership

DevOps

Cloud platforms

Software architecture

Education

Bachelor degree in Computer Science/IS/Insurance

Tools

Struts

Spring

Hibernate

Oracle

Job description

The Lead Software Engineer (AI Enabled Solutions) will collaborate with business users, business analysts, project managers, and other stakeholders, assuming responsibility for the successful delivery of projects, system enhancements, and initiatives in accordance with established timelines and quality standards.

This role will also provide solutions in integrating AI technologies into the core application development processes, utilizing AI-assisted tools to achieve enhancements efficiently and with high quality.

• Responsible in conducting impact assessments, system design, development, testing, implementation, and post-deployment verification, utilizing AI-assisted tools, LLMs and intelligent workflows.
• Design and develop solutions based on user requirements, ensuring adherence to mutually agreed timelines, quality benchmarks, and performance standards.
• Analyse both functional and technical solution requirements, contributing to the creation of comprehensive functional and technical specifications.
• Demonstrate hands‑on development expertise in Java/J2EE applications and Oracle PL/SQL programming, with the ability to deliver tasks independently.
• Participate in source code reviews, code merges, and assessments of code quality.
• Design and implement AI‑driven features, such as automated debugging, code generation, and process optimization across supported platforms.
• Build and refine RAG pipelines while integrating LLMs to enhance core application capabilities.
• Design Graph RAG strategies that utilize structured knowledge graphs by improving reasoning and contextual understanding.
• Use prompt engineering, loop engineering, and agentic tools to create reliable automation.
• Collaborate regularly with business users, business analysts, project managers, and other stakeholders regarding SIT, UAT, production support, user queries, and database‑related issues.
• Govern AI practices within the team by establishing integration standards, evaluation guidelines, safety measures, cost management, and documentation.
• Oversee deployment, monitoring, and optimization on cloud platforms to maintain uninterrupted operation of essential services.
• Provide technical guidance, conduct mentoring sessions, review code and architecture and ensure timely delivery of AI‑driven solutions.

We are looking for people who

• Possesses Bachelor Degree in Computer Science, Business Information Systems, Insurance, or a related area is preferred.
• Candidate must possess 8 to 12 years of relevant professional experience, including a minimum of 2 years of experience integrating AI/LLM features into production applications.
• Advanced design and programming abilities with Java and server‑side technologies such as Java, J2EE, Struts, Spring, Hibernate, and REST APIs.
• Solid technical background in SQL and PL/SQL programming.
• Capable of thriving in a fast‑moving, collaborative environment with minimal supervision.
• Experience and knowledge of microservices architecture will be added advantage.
• Experience within the insurance industry is a plus.
• Excellent leadership, problem‑solving, and interpersonal communication skills.
• Demonstrated leadership in guiding teams to deliver enhancements, resolve bugs, and develop new features using AI‑assisted tools within core, production environments.
• Extensive experience with large language models (LLMs) such as OpenAI, Claude, Qwen, DeepSeek, and open-source alternatives, including practical integration for automation, information retrieval, and content generation.
• In‑depth hands‑on knowledge of RAG architectures encompassing data ingestion strategies, chunking techniques, hybrid retrieval (combining keyword and semantic methods), reranking, and grounding methods to minimize hallucinations.
• Advanced proficiency in prompt engineering and loop engineering (system prompts, chain‑of‑thought development, ReAct‑style loops, self‑reflection, and iterative enhancement).
• Proven expertise in designing and utilizing agentic tools (function/tool calling, custom integrations) alongside API design for seamless connection of AI functionalities to backend and frontend application infrastructures.
• Comprehensive understanding and experience with databases (Vector database, Relational database)) for AI workloads.
• Strong experience on DevOps and Production deployment skills on cloud platforms (AWS, GCP, Azure etc), including containerization, CI/CD, and monitoring.
• Strong understanding of AI technologies, trends and best practices.

How you succeed

• Champion and embody our Core Values in everyday tasks and interactions.
• Demonstrate high level of integrity and accountability.
• Take initiative to drive improvements and embrace change.
• Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
• Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.

Who we are

Founded in 1908, Great Eastern is a well‑established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei.

The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of "AA-" by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia.

Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world’s most highly‑rated banks, with an Aa1 rating from Moody’s and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.