Position: SM/AVP – SMART Claims Location: Noida Job Type-Hybrid-3 days Reporting: Head of Business Transformation/ Operations Unit - India Position Overview: Lead the establishment and operations of a strategic Claims Support Center in Noida, driving 24/7 excellence in claims processing support for global BI/PD adjusters. This is a leadership role requiring a seasoned professional to build, mentor, and scale a high-performance team from ground up. Key Responsibilities Strategic Leadership: Establish and operationalize the Claims Support Center within 90 days Develop comprehensive operational procedures, quality standards, and performance metrics Design and implement 24/7 shift operations including night shift (6 PM - 3 AM IST) Create scalable processes to support global adjuster teams across multiple time zones Claims Process & Workflow Management Ability to design, document, and continuously improve end-to-end claims workflows (FNOL to closure) to improve speed, quality, and cost. Ability to define standard operating procedures (SOPs) and ensure adjusters and operations teams adhere to them. Ability to monitor claims inventory and workload distribution, and recommend actions to balance capacity and meet SLAs. Ability to identify bottlenecks or failure points in claims handling and propose practical process fixes. Core Analytical & Problem-Solving Skills Strong ability to analyze claim patterns, exceptions, and outliers to detect potential fraud, leakage, or process gaps. Ability to use data from multiple systems (claims platform, CRM, document management, billing) to form a holistic view of the claim. Ability to prioritize and decide quickly in ambiguous situations, while staying aligned with guidelines and risk appetite. Quality, Compliance & Risk Management Ability to ensure regulatory and internal compliance (documentation standards, privacy, fair claims handling, local regulations). Ability to identify claim leakage (overpayments, missed recoveries, unnecessary expenses) and recommend preventative controls. Ability to create/review checklists and guidelines to standardize proper documentation, reserves, and settlement practices. . Adjuster Support & Coaching Ability to act as a subject matter expert and first point of escalation for adjusters on complex coverage or process questions. Ability to coach and mentor TEAM on best practices, documentation quality, investigation standards, and negotiation strategies. Ability to conduct training sessions on new products, processes, tools, and regulatory changes impacting claims. Ability to communicate complex concepts in simple language, tailored to new joiners as well as experienced adjusters. Operational Excellence & Team Management Build end-to-end claims support activities including documentation, investigation support, and stakeholder communication Ensure compliance with regulatory requirements and company policies Manage real-time support delivery to field adjusters Drive process improvements and automation initiatives Stakeholder Management Collaborate closely with BI/PD adjusters to understand support requirements Coordinate with IT teams for technology integration and system optimization Report to senior management on operational metrics and strategic initiatives Ability to collaborate with cross-functional teams (Underwriting, Legal, SIU/Fraud, IT, Operations, Finance) to resolve claim issues. Ability to represent claims in projects and workshops, ensuring adjuster needs and customer impacts are clearly articulated. Ability to influence without authority, driving adoption of new processes, tools, and behaviors across the claims team Required Qualifications Experience & Education Minimum 14+ years in claims management with proven leadership experience Bachelor's/Masters degree in Business, Finance, Insurance, or related field Essential: Hands-on experience with BI (Bodily Injury) and PD (Property Damage) claims please share your resume at shobhana@futuristicuwltd.com
please share your resume at shobhana@futuristicuwltd.com Role: AI Engineer Location: Noida-Hybrid Role: Design, develop, and deploy AI/ML solutions that transform insurance operations, enhance underwriting accuracy, and automate business workflows across our integrated ecosystem. ey Responsibilities AI Solution Development: Design and implement machine learning models for Property underwriting automation, claims triage, fraud detection, and risk assessment Model Deployment & MLOps: Build and maintain ML pipelines, model versioning, A/B testing frameworks, and production monitoring systems Data Engineering Integration: Collaborate with data teams to build feature stores, data pipelines, and real-time inference systems GenAI Applications: Develop LLM-powered applications for document processing, customer service automation, and intelligent workflow orchestration Insurance Domain AI: Build specialized models for policy analysis, claims processing, underwriting decision support, and regulatory compliance automation Production Systems: Ensure AI systems meet enterprise standards for scalability, security, model governance, and regulatory compliance Cross-Functional Collaboration: Work closely with business stakeholders, data scientists, and engineering teams to translate business requirements into AI solutions Innovation & Research: Stay current with AI/ML advancements and evaluate emerging technologies for insurance applications Code Quality & Documentation: Maintain high coding standards, comprehensive documentation, and knowledge sharing across the team Performance Optimization: Monitor model performance, implement drift detection, and continuously improve AI system accuracy and efficiency Required Qualifications Education: B.Tech/M.Tech in Computer Science, Data Science, AI/ML, or related technical field Experience: 3-8 years in AI/ML engineering with hands-on experience in production ML systems Programming: Proficiency in Python, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn) MLOps: Experience with ML pipeline tools (MLflow, Kubeflow, Airflow), containerization (Docker, Kubernetes), and cloud ML services Data Processing: Strong skills in data manipulation (Pandas, NumPy), SQL, and working with large datasets Cloud Platforms: Hands-on experience with AWS/Azure ML services, data lakes, and distributed computing Model Development: Experience in supervised/unsupervised learning, deep learning, NLP, and computer vision Production Deployment: Experience deploying ML models via APIs, batch processing, and real-time inference systems Communication: Strong English communication skills for technical documentation and stakeholder interaction Problem Solving: Analytical mindset with ability to translate business problems into AI/ML solutions Preferred Qualifications Insurance/Financial Services: Experience with insurance data, underwriting processes, claims workflows, or regulatory requirements Generative AI: Hands-on experience with LLMs, RAG systems, prompt engineering, and AI application development Advanced ML: Experience with ensemble methods, time series forecasting, anomaly detection, or recommendation systems Big Data: Experience with Spark, Hadoop, or other distributed processing frameworks Model Governance: Knowledge of model risk management, bias detection, explainable AI, and compliance frameworks DevOps: Experience with CI/CD pipelines, infrastructure as code, and automated testing for ML systems Research Background: Publications, patents, or contributions to open-source ML projects Domain Expertise: Understanding of Property & Casualty insurance, underwriting, claims, or risk assessment Startup Experience: Experience in fast-paced, high-growth environments with ability to work independently Certifications: AWS/Azure ML certifications or relevant AI/ML professional certifications Thanks; Shobhana