Save Job Back to Search Job Description Summary Similar JobsCompetitive SalaryOpportunity to work on cutting edge technologyAbout Our ClientA company operating in the insurance industry, located in Kuala Lumpur.Job DescriptionSolution architecture ownership. Own the solution architecture for AI services and new initiatives - make and document technology and design decisions, define integration patterns across services, and ensure solutions align with platform standards, security, and AI governance.Technical leadership & mentoring. Mentor and support other engineers, share knowledge across the team, and help grow AI/ML capability. Set and uphold engineering best practices through code and architecture review.Architecture & code review. Review designs and code from the team to ensure quality, maintainability, security, and consistency with platform standards, and provide constructive, actionable feedback.Deliver new AI projects. Take new initiatives from concept to production across areas such as fraud detection, document processing and intelligent extraction, underwriting automation, and AI for operations. Gather requirements, design the solution and architecture, build it on the shared platform, and hand it over as a monitored, governed production service.Platform engineering & IaC. Implement and enhance the AI and analytics platform using Infrastructure as Code with Terraform. Keep changes aligned with existing VPC, IAM, API Gateway, and data-layer architecture.End-to-end ML/AI lifecycle. Manage models across the full lifecycle. This covers training and deploying custom ML models (e.g. classification, regression, object detection / computer vision) via our SageMaker MLOps pipeline (preprocess → train → evaluate → conditionally register), as well as integrating LLM as needed. Cover model import, training, evaluation, deployment, inference execution, monitoring, and integration of outputs into downstream applications and automation workflows.Serverless AI pipelines. Build scalable, serverless AI and data processing pipelines on AWS.Generative AI solutions. Develop and integrate GenAI features - LLM-based classification and extraction, document/case analysis, RAG, and chatbots - into operational workflows.Automation of core insurance operations. Support automation across: (i) data capture and verification from documents (OCR + LLM-based extraction); (ii) automated adjudication, eligibility checks, and benefit/reserve calculations; (iii) fraud/anomaly detection using ML and analytics; and (iv) workflow automation for processes such as claims assessment, payment initiation, notifications, and underwriting.Vendor evaluation & third-party integration. Support end-to-end vendor evaluation and procurement (RFI, RFP, selection, due diligence) and adapt third-party AI solutions into the GIMB environment, aligned with architectural principles, AI governance, and technical standards. Manage integrations with enterprise platforms, data services, and corporate systems.Cross-functional collaboration. Work with data engineers, business analysts, business units, and other stakeholders to gather requirements, onboard new use cases and lines of business, and integrate AI outputs into business processes and reporting.AI governance & Responsible AI. Support the AI governance framework: complete AI Risk Assessments before production deployment, maintain the AI Model Registry, document prompt designs and model/classification logic, keep human-in-the-loop QC workflows, and enforce data-privacy controls.Ground truth, evaluation & observability. Develop ground-truth datasets and labeling processes for training, evaluation, and monitoring. Compile accuracy/performance metrics and statistical analysis to drive model improvement. Implement structured logging, CloudWatch dashboards, and alarms/SNS notifications for service health, error rates, and model degradationThe Successful Applicant * Proficiency in Python and ML frameworks/algorithms (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow).* Strong grasp of generative AI and LLM techniques: prompt engineering, structured extraction, RAG, embeddings, and integrating hosted models (Anthropic Claude, Amazon Bedrock).* Experience training and operationalizing custom ML models end to end (data prep, training, evaluation, deployment, monitoring).* Experience designing and deploying on AWS, hands-on with core services used here: Lambda, API Gateway, Step Functions, SageMaker, Bedrock, Textract, DynamoDB, S3, ECR, SSM Parameter Store, CloudWatch, VPC/IAM.* Infrastructure as Code with Terraform - modules, per-environment state backends, plan/apply workflows (AWS CDK a plus).* Solid MLOps understanding: CI/CD, model registration, monitoring, and drift detection.* Proven ability to own solution architecture and mentor engineers, including leading design and code reviews.* Familiarity with event-driven and serverless architectures (Lambda / Step Functions).* Container skills: Docker (Python slim base images, Lambda container images) and image lifecycle management in ECR* OCR and document-intelligence experience (AWS Textract, IDP pipelines).* Computer vision / object detection experience (e.g. training and deploying detection models).* Vector search / RAG with a vector store (e.g. pgvector).* Data warehouse familiarity such as Amazon Redshift.* API contract discipline with OpenAPI specs.* Full-stack awareness for AI applications: FastAPI backends and React/Vite/MUI frontends.* Exposure to Responsible AI practices and LLM guardrails (content filtering, confidence scoring, human review).* AWS certifications (AI/ML Specialty, Solutions Architect) or equivalent.What's on OfferContract: 1 year (extendable)Medical benefitsOpportunities to work on cutting-edge AI technologies within the BFSI industry.If you are passionate about AI and looking to contribute to the insurance industry, we encourage you to apply.ContactCharlene FernandezQuote job refJN-092026-7108907Phone number+60323024024Job summaryFunctionITSpecialisationBusiness IntelligenceWhat is your area of specialisation?Financial ServicesLocationKuala LumpurContract TypeTemporaryConsultant nameCharlene FernandezConsultant contact+60323024024Job ReferenceJN-092026-7108907
