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 :

Strategic 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 users.

Continuous Improvement & Innovation :

- Stay up to date with developments in AI/ML, generative AI, data engineering

- Evaluate new tools and approaches.

- Continuously enhance and optimize existing AI systems.

Strategic Importance :

This role is critical to :

- Building the organizations AI capability

- Enabling intelligent automation across operations

- Supporting a data-driven, scalable operating model

- Creating a competitive advantage in financial services delivery

Performance Measures :

- Number of AI solutions deployed into production

- Reduction in manual processes

- Improvement in operational efficiency

- Adoption of AI tools by business teams

- Model performance and reliability

- Contribution to scalable automation

What Success Looks Like :

- AI solutions actively used by the business

- Reduction in manual cognitive workload

- Improved quality of outputs and decisions

Candidate Profile :

- Degree in Computer Science, Data Science, Engineering, or related field

- 3- 8 years' experience in AI / machine learning, data engineering, software development

- Proven experience deploying AI solutions in production environments

- Experience in financial services highly preferred but not mandatory

- Ability to translate business needs into technical solutions

- Attention to detail and data accuracy

- Collaborative mindset across technical and business teams

- Curiosity and willingness to experiment and iterate

- Practical and outcome-driven, focused on business impact

- Exceptional client facing skills. Well-developed spoken and written communication skills and the ability to tailor style to relevant audiences and successfully liaise with people at different levels. Excellent English language fluency: additional languages preferred.

- Strong analytical and problem-solving skills, solution driven, highly organized and detail-oriented with good decision making and time management skills. Independent, hands-on and takes accountability to deliver solutions and results.

- Ability to adapt and work in a smaller, dynamic local team environment with tight deadlines; along with being part of a bigger matrix organization. Proven team player skills, with ambition to excel in the role and grow into fund organization and structuring.

This is a demanding role. You will succeed if you have :

- High ownership and accountability

- Bias for action and speed

- High comfort operating in ambiguity

- Willingness to challenge stakeholders

Technical Skills :

- Programming & ML : Python (essential), ML frameworks (TensorFlow, PyTorch, Scikit-learn)

- Generative AI : Experience with LLM APIs and frameworks, Prompt engineering, Retrieval-Augmented Generation (RAG)

- Data Engineering : SQL, data pipelines and ETL processes

- Deployment & Engineering : APIs and microservices, Cloud platforms (AWS, Azure, GCP), Containerisation (Docker, Kubernetes desirable)