Amicorp - AI Engineer - Applied AI & Financial Platform

Job Role/Title : AI Engineer- Applied AI & Financial platform Experience Range : 3- 8 years Location : PAN India About Us : Amicorp Group is an independent leading global provider of trust, fiduciary and corporate services to mostly corporate but also high-net-worth clients (www.amicorp.com). We are a Hong Kong based Group with an international network of 40+ offices in over 30 countries. Our private ownership further allows us to be fully committed to our client`s long-term financial needs and goals. We aim to provide an exciting, dynamic and purpose-driven working environment for our employees, we promote environmental consciousness and contribute positively to the communities in which we are active; we are also soundly profitable. We are proud to have our global team of 700+ specialists who contribute their individual talents to our broad range of expertise and experience. We are international, independent, entrepreneurial and growing fast. We offer a fast paced, dynamic, international work environment, we value people who want to solve problems with initiative, entrepreneurship, creativity and drive and who make a positive business impact; and we offer market competitive compensation. Role Overview : The business deals with large volumes of unstructured data and decision-heavy processes. This role exists to apply AI in a practical, business-driven way. The role objective is to design and deploy AI solutions that automate cognitive tasks, improve decision-making, enhance client and operational workflows. The AI Engineer is responsible for designing, building, and deploying AI-powered solutions that are embedded into the organizations operational workflows. The role focuses on applied AI, translating real business problems across fund administration, AIFM, fiduciary services, and support functions into scalable, production-grade AI systems. This is not a research role. The AI Engineer will build systems that are used daily, drive automation, improve decision-making, and enable the organization to operate as a data-driven, AI-enabled platform. Primary Duties And Responsibilities Mandate : The role is accountable for : - Embedding AI into core business workflows - Reducing manual intervention through intelligent automation - Building reusable AI components and internal capabilities - Enabling data-driven operations across all functions - Supporting the firms transition to an AI-first operating model Applied AI Solution Development : - Design and build AI/ML models to solve operational and analytical problems. - Develop solutions for anomaly detection (e.g. NAV, reconciliations, transactions), classification and pattern recognition, predictive analytics (e.g. liquidity, cash flows, operational risk) - Ensure models are scalable, robust, and suitable for production use. - Develop use cases such as document processing (KYC, contracts), anomaly detection, financial commentary generation, intelligent search and query systems Generative AI & LLM Applications (Core Focus) : - Develop applications using Large Language Models (LLMs) for document extraction and processing, automated report drafting and summarisation, AI copilots for operational workflows - Build Retrieval-Augmented Generation (RAG) systems using internal data sources. - Design prompt frameworks and reusable components for enterprise use. Workflow Integration : - Integrate AI solutions into business workflows such as NAV production and validation, reconciliation processes, investor reporting, compliance monitoring - Work with automation engineers to combine AI with workflow orchestration and RPA. - Embed AI into existing processes, ensure outputs are usable and reliable, design end-to-end solutions, not isolated models Data Engineering & Feature Development : - Build and maintain data pipelines required for AI solutions. - Perform data cleaning and transformation, feature engineering, dataset preparation - Ensure high data quality and consistency across systems. Model Deployment & MLOps : - Deploy AI models into production environments. - Implement model monitoring, performance tracking, drift detection, retraining pipelines - Ensure reliability and scalability of deployed solutions. System Integration : - Integrate AI systems with fund accounting platforms, CRM systems, workflow and automation tools, data platforms - Build APIs and services to enable real-time usage of AI outputs. AI Governance & Compliance : - Ensure AI solutions are explainable, auditable, aligned with regulatory expectations - Maintain documentation of models, assumptions, and outputs. - Support audits and regulatory reviews where required. Collaboration with Business & Transformation Teams : - Work closely with Process Analysts (process design), Product Managers (product roadmap), - Automation Engineers (execution layer) - Translate operational challenges into AI-driven solutions. - Validate outputs with business Job Role/Title