At BJAK, we use AI to solve meaningful, high-impact problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.
This role blends deep technical expertise with hands-on leadership. You’ll write production code, shape strategy, mentor engineers, and help build a lean, world-class AI team.
The position supports fully work model.
Why This Role MattersYou’ll design and deploy core AI systems that support millions of users
You’ll partner closely with the Head of AI to drive technical execution and engineering excellence
You’ll mentor junior engineers and elevate team performance
You’ll play a central role in technical hiring and scaling the AI organisation
Design, build, and ship production-grade ML models for high-impact use cases
Lead model architecture decisions, data pipeline design, and deployment strategies
Collaborate across product, engineering, and data teams to drive AI initiatives end-to-end
Own the full ML lifecycle: data preparation, training, validation, deployment, monitoring
Review code, guide technical projects, and mentor engineers through challenges
Promote experimentation, continuous learning, and AI best practices
Interview and evaluate candidates as part of the technical hiring process
Stay ahead of emerging ML techniques and bring cutting-edge approaches into production
Lead from the front - hands-on with code while lifting the team around you
Think like an owner - solving problems proactively, not waiting for instructions
Operate with speed and depth - making fast, sound decisions with clear trade-offs
Bring clarity - adding structure and direction even in fast-moving environments
Care about impact - focusing on solutions that matter in the real world
Enjoy mentoring - helping others grow is part of your leadership DNA
Adapt quickly - ambiguity and changing priorities don’t slow you down
Have a builder’s mindset - prototype fast, iterate fast, improve fast
Commit to continuous learning - across technical, product, and leadership skillsets
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Strong proficiency in Python
Over 4 years of AI/ML engineering experience with real-world deployment
Deep expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Solid understanding of end-to-end ML workflows: data pipelines, training, validation, monitoring
Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)
Proven track record of technical leadership and mentoring
Excellent communication, collaboration, and problem-solving skills
Comfortable working remotely with distributed teams across time zones
Experience with MLOps tools (MLflow, Airflow, Docker, GCP/AWS)
Familiarity with responsible AI principles (fairness, interpretability, model governance)
Startup or scale-up environment experience
Experience developing internal tools, reusable ML components, or AI platforms
Competitive salary and performance bonuses
Remote-first work culture, with a hybrid work option for Malaysia-based team members
High ownership and visibility - your work directly impacts regional-scale systems
Direct reporting line to the Head of AI with leadership exposure
Opportunity to build and grow a high-performance AI engineering team
Fast career growth and learning in a high-velocity environment
Flat, collaborative culture where ideas move fast and great work gets noticed
BJAK is a leading digital insurance platform serving millions of users with transparent and affordable financial protection. We simplify financial services using AI, automation, and smart APIs, and we’re building next-generation intelligent systems to make finance accessible, fast, and fair for everyone.
From personalized pricing engines to smart automation and fraud detection, we focus on technology that solves real problems at scale.
If you’re ready to build, lead, and scale AI systems that matter - in a company that moves fast and thinks big - we’d love to hear from you.
