AI Applied Researcher [CCP for ICT Professionals (Data and AI)]

PRECISION FIRST PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Precision First Pte Ltd is seeking an AI Applied Researcher to drive AI adoption across marketing, sales, operations and customer engagement. You will research, evaluate and implement generative AI technologies, collaborating with internal stakeholders to translate business needs into practical AI-enabled workflows and prototypes.

Responsibilities include designing data structures, assessing data governance and ethics, and developing AI strategies to support commercial growth for Precision First

Qualifications

• Experience in applied AI research and evaluating AI technologies.
• Ability to translate business requirements into AI-enabled workflows.
• Familiarity with data governance and PDPA.
• Experience with AI ethics and governance.
• Strong collaboration with marketing, sales and operations.

Responsibilities

• Research and evaluate generative AI technologies, large language models (LLMs), workflow automation platforms and AI-enabled business applications.
• Analyse business requirements by reviewing processes and priorities with stakeholders to define AI requirements and use cases.
• Design data structures for AI research to support analysis, retrieval and application needs.
• Assess ethical use of data in AI research and applications against PDPA and policies.
• Review AI implementation practices to identify operational risks and governance improvements.
• Develop and evaluate AI data strategies to support business initiatives.
• Apply design thinking to understand user needs and frame AI solutions.
• Monitor advancements in Generative AI and related tech to plan future capabilities.
• Develop AI reasoning workflows with prompt chains and retrieval processes.
• Design AI-enabled work processes to integrate AI into business functions.
• Develop pattern recognition approaches to identify recurring data patterns for AI use cases.
• Implement and optimize approved AI solutions with cross-functional teams.
• Design research methodologies and evaluation frameworks to benchmark AI models.

Skills

Generative AI

LLMs

AI research

Data analysis

Design thinking

Stakeholder collaboration

Tools

ChatGPT

Microsoft Copilot

Google Gemini

Claude

Job description

Company Name: Precision First Pte Ltd

Job Title: AI Applied Researcher

Employment Type: Full-Time

About us

At Precision First Pte Ltd, we are a leading consultancy firm managing multiple brands, including Doctor Heals and Cura Selects. Our mission is to provide expert consultancy services and high-quality healthcare solutions. We prioritise excellence in talent management, employee development, and workplace culture to drive sustainable growth and client satisfaction.

Job Summary

The AI Applied Researcher supports Precision First's AI adoption initiatives by researching, evaluating and implementing generative AI technologies that enhance marketing, sales, operations and customer engagement. You will collaborate with internal stakeholders to translate business requirements into practical AI-enabled workflows, develop and evaluate AI prototypes, and establish responsible AI practices that improve operational efficiency and support the commercial growth of Precision First and Cura Selects.

Key Responsibilities

1. 1. Research and evaluate generative AI technologies, large language models (LLMs), workflow automation platforms and AI-enabled business applications, including ChatGPT, Microsoft Copilot, Google Gemini, Claude, to identify practical solutions that align with organisational needs and digital transformation objectives.
2. 2. Analyse business requirements by reviewing existing processes, operational pain points and business priorities with marketing, sales and operations stakeholders to define AI requirements, research objectives and prioritised use cases based on business impact.
3. 3. Design data structures for AI research by mapping data fields, relationships, formats and data flows across internal knowledge repositories, CRM records, product information, customer enquiries and operational documentation to define data structures that support AI analysis, retrieval and application requirements.
4. 4. Assess the ethical use of data in AI research and applications by reviewing how organisational data and AI-generated outputs are collected, processed, used and retained against PDPA requirements, AI principles and organisational policies to identify ethical risks and appropriate data handling practices.
5. 5. Review AI implementation practices by assessing data governance, AI-generated outputs, workflow controls and deployment processes against PDPA requirements, AI principles and organisational policies to identify operational risks, strengthen governance practices and promote trustworthy AI adoption across the organisation.
6. 6. Develop and evaluate AI data strategies by assessing data sources, accessibility, quality, integration and usage requirements to prioritise datasets and define data management approaches that support AI applications, digital transformation initiatives and business objectives.
7. 7. Apply design thinking methods to understand user needs, frame business problems, generate AI-based solution ideas and evaluate potential use cases with relevant stakeholders to progress solutions and experimentation.
8. 8. Monitor advancements in Generative AI, automation, and emerging digital technologies by reviewing technology publications, vendor updates, implementation case studies and industry best practices to recommend future AI capabilities, continuous innovation initiatives and long‑term AI adoption strategies that support business growth and competitive advantage.
9. 9. Develop and validate AI reasoning workflows by designing prompt chains, knowledge retrieval processes and conversational assistants that enable AI systems to interpret business inputs, apply relevant context and generate appropriate responses or actions for defined business scenarios.
10. 10. Design AI-enabled work processes by translating research findings into revised workflows, role responsibilities and implementation approaches to support the integration of AI capabilities into relevant business functions and improve operational effectiveness.
11. 11. Develop pattern recognition approaches for AI research by analysing structured and unstructured business data to identify recurring patterns, anomalies and relationships that inform AI use cases, solution design and optimisation decisions.
12. 12. Implement and optimise approved AI solutions by collaborating with cross‑functional teams to integrate AI workflows into internal operations, monitor user adoption, evaluate operational outcomes and refine AI implementations based on business performance and stakeholder feedback.
13. 13. Design research methodologies and comparative evaluation frameworks by defining testing scenarios, success criteria and performance metrics based on factual accuracy, business relevance, consistency, usability and operational effectiveness to benchmark AI models, prompting strategies and automation workflows .
14. 14. Plan and conduct applied AI research initiatives by engaging marketing, sales and operations stakeholders to identify business challenges, define rese