884 AI Consultant jobs in Singapore

Responsibilities:

• Development Strategist to Go onsite and meet with customers across APAC and NA region and analysts to understand the critical questions they need to answer and locate their biggest pain points.

• Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline.

• Develop and refine input and output prompts using OpenAI tools to generate precise and detail-oriented client-ready documents.

• Design, build, and optimize data pipelines and workflows in Palantir Foundry

• Integrate data from multiple internal and external systems into the Foundry platform

• Develop and maintain Ontologies and data models to support operational and analytical use cases.

• Train AI models by integrating and processing large datasets, including Excel files, to enhance their performance and accuracy.

• Collaborate with the sales team to design strategy recommendations and create efficient workflows for delivering high-quality presentations.

• Modify and optimize outputs from ChatGPT to meet client requirements within tight timeframes.

• Implement robust security measures to protect sensitive client data and ensure compliance with industry standards.

• Utilize cloud technologies and advanced business process methodologies to streamline operations.

• Troubleshoot and resolve issues related to prompt engineering and AI model performance.

• Maintain thorough documentation of processes, workflows, and security protocols.

• Provide guidance and training to team members on advanced AI prompt engineering practices.

• Work closely with clients to understand their needs and customize AI solutions accordingly.

• Proven experience in prompt engineering and working with OpenAI tools such as ChatGPT.

• Strong proficiency in managing and processing large datasets, particularly in Excel.

• Knowledge of cloud technologies and their application in business processes.

• Familiarity with advanced AI security protocols and practices.

Skills Required

• 10 Plus of IT Industry experience with the following skills

• Mandatory : Willing to Travel across ASIA and NA, this role requires 60% of Travel to meet customers.

• Strong programming background with SQL and Python.

• Mandatory : Experience in data engineering, ETL, and data modeling.

• Mandatory : 1 Year Hands-on experience with Palantir Foundry (pipelines, ontology, data integration).

• 3+ years shipping production backend/distributed systems at a product company (or 2+ with exceptional trajectory and ownership).

• Fluency in Python or , comfortable with async workers, queues, and clean API design (REST/gRPC).

• Comfortable integrating graphs into LLM reasoning chains (e.g. GraphRag)

• Hands on experience with one of AWS/GCP/Azure + IaC, containers/orchestration

• Practical LLM integration: You can reason deeply about latency, cost, safety, and determinism

• Observability first: logs, traces, metrics—you've instrumented end‑to‑end (e.g., OpenTelemetry) and owned SLOs/alerting.

• Security mindset: least‑privilege access, sensible secrets management, and privacy by default.

• Communicate clearly, document decisions (ADRs welcome), and raise the engineering bar through reviews and mentorship.

• Banking project experience in investment banking is a huge plus.

Responsibilities
Development Strategist to Go onsite and meet with customers across APAC and NA region and analysts to understand the critical questions they need to answer and locate their biggest pain points.
Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline.
Develop and refine input and output prompts using OpenAI tools to generate precise and detail-oriented client-ready documents.
Design, build, and optimize data pipelines and workflows in Palantir Foundry
Integrate data from multiple internal and external systems into the Foundry platform
Develop and maintain Ontologies and data models to support operational and analytical use cases.
Train AI models by integrating and processing large datasets, including Excel files, to enhance their performance and accuracy.
Collaborate with the sales team to design strategy recommendations and create efficient workflows for delivering high-quality presentations.
Modify and optimize outputs from ChatGPT to meet client requirements within tight timeframes.
Implement robust security measures to protect sensitive client data and ensure compliance with industry standards.
Utilize cloud technologies and advanced business process methodologies to streamline operations.
Troubleshoot and resolve issues related to prompt engineering and AI model performance.
Maintain thorough documentation of processes, workflows, and security protocols.
Provide guidance and training to team members on advanced AI prompt engineering practices.
Work closely with clients to understand their needs and customize AI solutions accordingly.
Proven experience in prompt engineering and working with OpenAI tools such as ChatGPT.
Strong proficiency in managing and processing large datasets, particularly in Excel.
Knowledge of cloud technologies and their application in business processes.
Familiarity with advanced AI security protocols and practices.
Skills Required
10 Plus of IT Industry experience with the following skills
Mandatory : Willing to Travel across ASIA and NA, this role requires 60% of Travel to meet customers.
Strong programming background with SQL and Python.
Mandatory : Experience in data engineering, ETL, and data modeling.
Mandatory : 1 Year Hands-on experience with Palantir Foundry (pipelines, ontology, data integration).
3+ years shipping production backend/distributed systems at a product company (or 2+ with exceptional trajectory and ownership).
Fluency in Python or TypeScript/Node.js, comfortable with async workers, queues, and clean API design (REST/gRPC).
Comfortable integrating graphs into LLM reasoning chains (e.g. GraphRag)
Hands on experience with one of AWS/GCP/Azure + IaC, containers/orchestration
Practical LLM integration: You can reason deeply about latency, cost, safety, and determinism
Observability first: logs, traces, metrics—you’ve instrumented end‐to‐end (e.g., OpenTelemetry) and owned SLOs/alerting.
Security mindset: least‐privilege access, sensible secrets management, and privacy by default.
Communicate clearly, document decisions (ADRs welcome), and raise the engineering bar through reviews and mentorship.
Banking project experience in investment banking is a huge plus.
#J-18808-Ljbffr

Our client from the Fintech industry is hiring for an FRM AI Solutions Consultant position. This organization develops cutting-edge financial risk management software by combining deep domain expertise with advanced analytics and AI.
Job Description
Translate financial business logic, risk principles, and regulatory requirements into specifications for AI-enhanced features.
Design and test prompts (Prompt Engineering) to guide AI-driven solutions, ensuring accuracy and commercial viability.
Participate in the full product development lifecycle, including ideation, feature testing, and validation against industry benchmarks.
Collaborate with product managers and engineers to ensure financial soundness in product logic.
Support pre-sales efforts by preparing business proposals, marketing materials, and solution presentations.
Assist in product implementation through system configuration, validation testing, and client training.
Monitor regulatory and industry updates to maintain relevance and compliance in financial risk management solutions.
Qualifications
Bachelor's or Master's degree in Finance, Economics, Business, Accounting, or a related field.
Strong foundational understanding of financial risk management, accounting principles, or financial business logic.
Demonstrable interest and foundational knowledge in Python and SQL.
Excellent analytical and problem-solving skills with a strong desire to learn and adapt in a fast-paced environment.
Strong communication and interpersonal skills.
We are an equal opportunities employer and welcome applications from all qualified candidates.
#J-18808-Ljbffr

Company Overview
Our client from the Fintech industry is hiring for an FRM AI Solutions Consultant position. This organization develops cutting-edge financial risk management software by combining deep domain expertise with advanced analytics and AI.
Job Description
Translate financial business logic, risk principles, and regulatory requirements into specifications for AI-enhanced features.
Design and test prompts (Prompt Engineering) to guide AI-driven solutions, ensuring accuracy and commercial viability.
Participate in the full product development lifecycle, including ideation, feature testing, and validation against industry benchmarks.
Collaborate with product managers and engineers to ensure financial soundness in product logic.
Support pre-sales efforts by preparing business proposals, marketing materials, and solution presentations.
Assist in product implementation through system configuration, validation testing, and client training.
Monitor regulatory and industry updates to maintain relevance and compliance in financial risk management solutions.
Qualifications
Bachelor's or Master's degree in Finance, Economics, Business, Accounting, or a related field.
Strong foundational understanding of financial risk management, accounting principles, or financial business logic.
Demonstrable interest and foundational knowledge in Python and SQL.
Excellent analytical and problem-solving skills with a strong desire to learn and adapt in a fast-paced environment.
Strong communication and interpersonal skills.
We are an equal opportunities employer and welcome applications from all qualified candidates.
#J-18808-Ljbffr

Our client from Fintech industry is hiring for an FRM AI Solutions Consultant position. This organization develops cutting-edge financial risk management software by combining deep domain expertise with advanced analytics and AI.

• Translate financial business logic, risk principles, and regulatory requirements into specifications for AI-enhanced features.
• Design and test prompts (Prompt Engineering) to guide AI-driven solutions, ensuring accuracy and commercial viability.
• Participate in the full product development lifecycle, including ideation, feature testing, and validation against industry benchmarks.
• Collaborate with product managers and engineers to ensure financial soundness in product logic.
• Support pre-sales efforts by preparing business proposals, marketing materials, and solution presentations.
• Assist in product implementation through system configuration, validation testing, and client training.
• Monitor regulatory and industry updates to maintain relevance and compliance in financial risk management solutions.

• Bachelor's or Master's degree in Finance, Economics, Business, Accounting, or a related field.
• Strong foundational understanding of financial risk management, accounting principles, or financial business logic.
• Demonstrable interest and foundational knowledge in Python and SQL.
• Excellent analytical and problem-solving skills with a strong desire to learn and adapt in a fast-paced environment.
• Strong communication and interpersonal skills.

Apply online for more information about this opportunity. Due to the high volume of applicants, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.

JAC Recruitment Pte. Ltd.
EA License Number: 90C3026
EA Personnel: R
Zhang Wei

1. Development Strategist to Go onsite and meet with customers across APAC and NA region and analysts to understand the critical questions they need to answer and locate their biggest pain points.
2. Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline.
3. Develop and refine input and output prompts using OpenAI tools to generate precise and detail-oriented client-ready documents.
4. Design, build, and optimize data pipelines and workflows in Palantir Foundry
5. Integrate data from multiple internal and external systems into the Foundry platform
6. Develop and maintain Ontologies and data models to support operational and analytical use cases.
7. Train AI models by integrating and processing large datasets, including Excel files, to enhance their performance and accuracy.
8. Collaborate with the sales team to design strategy recommendations and create efficient workflows for delivering high-quality presentations.
9. Modify and optimize outputs from ChatGPT to meet client requirements within tight timeframes.
10. Implement robust security measures to protect sensitive client data and ensure compliance with industry standards.
11. Utilize cloud technologies and advanced business process methodologies to streamline operations.
12. Troubleshoot and resolve issues related to prompt engineering and AI model performance.
13. Maintain thorough documentation of processes, workflows, and security protocols.
14. Provide guidance and training to team members on advanced AI prompt engineering practices.
15. Work closely with clients to understand their needs and customize AI solutions accordingly.
16. Proven experience in prompt engineering and working with OpenAI tools such as ChatGPT.
17. Strong proficiency in managing and processing large datasets, particularly in Excel.
18. Knowledge of cloud technologies and their application in business processes.
19. Familiarity with advanced AI security protocols and practices.

1. 10 Plus of IT Industry experience with the following skills
2. Mandatory : Willing to Travel across ASIA and NA, this role requires 60% of Travel to meet customers.
3. Strong programming background with SQL and Python.
4. Mandatory : Experience in data engineering, ETL, and data modeling.
5. Mandatory : 1 Year Hands-on experience with Palantir Foundry (pipelines, ontology, data integration).
6. 3+ years shipping production backend/distributed systems at a product company (or 2+ with exceptional trajectory and ownership).
7. Fluency in Python or , comfortable with async workers, queues, and clean API design (REST/gRPC).
8. Comfortable integrating graphs into LLM reasoning chains (e.g. GraphRag)
9. Hands on experience with one of AWS/GCP/Azure + IaC, containers/orchestration
10. Practical LLM integration: You can reason deeply about latency, cost, safety, and determinism
11. Observability first: logs, traces, metrics-you've instrumented end‑to‑end (e.g., OpenTelemetry) and owned SLOs/alerting.
12. Security mindset: least‑privilege access, sensible secrets management, and privacy by default.
13. Communicate clearly, document decisions (ADRs welcome), and raise the engineering bar through reviews and mentorship.
14. Banking project experience in investment banking is a huge plus.

Overview
About DBP (#DigitalBusinessPeople, #DBPtower) Digital Business People Pte. Ltd. is a technology outsourcing firm helping brands and businesses’ digital transformation with a key focus on omni-channel customer experience and engagement management. Founded in 2018, the company is headquartered in Singapore and has its offshore development centres in India. DBP offers a wide spectrum of solutions that include - Customer Communication Management (CCM) - Web Content Management (WCMS) - Campaign Management - Business Intelligence & Analytics (BI) - Robotic Process Automation (RPA) - Customer Relationship Management (CRM) - Cloud Management Services - Application Development and Managed Services. The company believes that both internal and external customers connect, through future ready technology solutions are a critical component of any business. DBP’s services and partnerships are centred around this philosophy. The company has strong partnerships with some leading global companies namely SAP, Quadient, Adobe, Intense Technologies, XpertDoc, Objectif Lune, Sisense, and Dimensional Insight amongst others. DBP has been listed amongst the Top 20 Salesforce consultants in Singapore and is also a member of Singapore Fintech Association. Please visit for more information.
The Role
Seeking a strategic and technically astute Senior AI Consultant to join our growing team of AI & Analytics experts. This is an individual contributor role focused on advising clients in the banking and financial services sector on how to integrate AI and advanced analytics into their operations, with a strong focus on financial crime risk areas such as Anti-Money Laundering (AML) and fraud detection.
Duties and Responsibilities
Indirect/direct consulting to clients.
Deliver value-add consulting services in financial crime compliance, performance improvement and business transformation, leveraging knowledge of industry best practices and proven practices using Actimize solutions.
Establish working relationships with chosen partner ecosystem, internally and externally.
Communicate with clients to assess solution fit and identify product gaps.
Serve as a trusted AI advisor to banks and financial institutions, guiding them on strategic AI adoption with an emphasis on AML and fraud risk mitigation.
Lead and facilitate discovery workshops, client interviews, and problem-framing sessions to identify AI opportunities.
Translate client objectives into AI/ML use cases, roadmaps, and high-level solution architectures.
Provide insights and recommendations on AI-driven AML frameworks, fraud detection models, transaction monitoring, entity resolution, and case management automation.
Stay current on regulatory trends, technologies, and best practices in financial crime compliance (e.g., FATF, FCA, Basel guidelines).
Collaborate with data scientists, engineers, and client-side stakeholders to ensure alignment of strategy with technical feasibility and data availability.
Contribute to proposal development, thought leadership content, and client presentations.
Support pre-sales efforts and participate in business development activities as a domain and AI expert.
Ideal Profile
Education & Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, or a related quantitative or business discipline.
5+ years of relevant experience in consulting, AI/analytics advisory, or financial services.
Strong knowledge of AI/ML technologies (e.g., predictive modelling, anomaly detection, NLP).
Proven experience working in or advising on AML, fraud detection, or financial crime risk domains.
Experience designing or supporting implementation of AI or analytics use cases in banking environments.
Familiarity with relevant platforms/tools: Python, SQL, cloud platforms (AWS, Azure, GCP), SAS, Actimize, or equivalent.
Subject matter expertise in the areas of artificial intelligence - in particular Machine Learning models and Generative AI and financial crime compliance.
Proficiency with a deep learning frameworks and proficiency with Python and basic libraries for Machine Learning.
Expertise in visualizing and manipulating big datasets.
Excellent verbal and written communication and presentation skills.
Familiarity with languages/tools associated with development and deployment of cloud-based Machine Learning models.
Previous experience establishing best practices, including continuous-integration pipelines, unit testing, code review.
Able to thrive in a fast-paced environment and learn quickly.
Ability to travel approximately 15% of the time.
Inter-Personal Skills
Customer facing skills, presenting, and selling.
Proven ability to effectively communicate and influence at all levels of an organization, including C-level executives and decision makers.
Capable of working on multiple overlapping tasks in a fast-paced environment “can-do” attitude and problem-solving approach.
Strong consultative communication skills – able to engage senior stakeholders, facilitate workshops, and convey complex ideas simply.
Analytical mindset with a problem-solving orientation and a focus on outcomes.
Ability to work independently and drive client engagements with minimal supervision.
Adept at navigating ambiguity and translating it into structured, actionable insights.
Confidence and professionalism in delivering presentations, leading discussions, and challenging ideas constructively.
What's on Offer?
Leadership Role
Work alongside & learn from best in class talent
Join a well known brand within Corporate Banking
#J-18808-Ljbffr

Are you the one?

Lead end-to-end client engagements to design, deliver, and transition production-grade AI agent systems. You'll translate ambiguous business needs into concrete roadmaps, assemble and lead the delivery team, and hand over a stable operation to appointed team leads before rotating to the next engagement. Clients will include both large institutions and blockchain-native companies, so interest in decentralized systems and emerging fintech is a plus. You combine deep, pragmatic LLM expertise with product sense and cost discipline.

What you'll do

• Client discovery & scoping: Run workshops to clarify goals, workflows, constraints, and success metrics; define MVP vs. phase-2 scope and acceptance criteria.
• Solution architecture: Choose the right approach (RAG vs. fine-tune vs. instruct-only; single- vs. multi-agent; orchestration strategies) with a clear rationale and risk plan.
• Reliability by design: Establish evals, guardrails, and observability (structured outputs, deterministic fallbacks, human-in-the-loop).
• Cost & performance modeling: Build token/latency/TCO models for training and inference; plan capacity, caching, and vendor/infra trade-offs to hit SLA and budget.
• Team formation: Stand up the delivery squad (LLM/ML engineers, backend, data, UX, PM), appoint durable team leads for ongoing run-state.
• Delivery leadership: Drive execution across POC pilot production; keep stakeholders aligned with clear communication and artifacts.
• Training strategy: Decide when/if to train models (LoRA, fine-tune, distillation) vs. using existing foundation models.
• Governance & compliance: Integrate data governance, security, and version control into system design.
• Transition & handover: Execute structured Build–Operate–Transfer: runbooks, documentation, dashboards, and knowledge transfer.
• Commercials & pre-sales: Contribute to proposals, estimates, and ROI cases; present to executive and non-technical audiences.

Qualifications

• Strong background in project management and systems architecture (5+ years total across both, not necessarily in AI).
• Proven track record leading cross-functional technical teams from scoping through delivery.
• Exposure to building or integrating AI/ML or data-intensive systems, ideally including LLM-based products.
• Familiarity with the LLM landscape: prompt/program design, tool use/function calling, retrieval strategies, eval methodologies, and guardrails.
• Understanding of model training options (instruction-tuning, LoRA/adapters, preference optimization) and when training is justified.
• Financial/ops acumen: able to build TCO models and capacity plans; comfortable with cloud/infra vendor trade-offs.
• Excellent client-facing communication skills.

Nice to have

• Hands-on familiarity with AI/LLM tools (LangChain, LlamaIndex, vector DBs, OpenAI/Anthropic/Mistral APIs).
• Experience with enterprise integrations (Salesforce, ServiceNow, SAP, etc.).
• Interest in blockchain systems and Web3 infrastructure, ideally with exposure to smart contracts, dApps, or decentralized governance.
• Background in consulting, professional services, or Build–Operate–Transfer models.

What We Offer/ Benefits

• Flexible Work Options: Remote-first culture with the opportunity to work from anywhere.
• Global and Diverse Workforce: You'll work with people from various backgrounds and cultures.
• Learning and Development: You'll work on innovative, challenging projects and have access to experts and mentors to enhance your skills.
• Career Growth: Access to training, mentorship, and opportunities to contribute to open-source initiatives.
• Global Events and Conferences: Opportunities to attend the industry events.
• Collaborative and Innovative Culture: We foster teamwork and encourage new ideas.

Our Commitment to Diversity

At Nethermind, we celebrate diversity and are committed to creating an inclusive environment for all team members. We believe a variety of perspectives drives innovation and leads to better solutions for the blockchain community.

Ready to Join Us?

If you're passionate about blockchain and eager to make an impact, we'd love to hear from you. Click Apply for this Job to start your journey with Nethermind.

Are you the one?
Lead end-to-end client engagements to design, deliver, and transition production-grade AI agent systems. You'll translate ambiguous business needs into concrete roadmaps, assemble and lead the delivery team, and hand over a stable operation to appointed team leads before rotating to the next engagement. Clients will include both
large institutions
and
blockchain-native companies
, so interest in decentralized systems and emerging fintech is a plus. You combine deep, pragmatic LLM expertise with product sense and cost discipline.

What You'll Do

• Client discovery & scoping: Run workshops to clarify goals, workflows, constraints, and success metrics; define MVP vs. phase-2 scope and acceptance criteria.
• Solution architecture: Choose the right approach (RAG vs. fine-tune vs. instruct-only; single- vs. multi-agent; orchestration strategies) with a clear rationale and risk plan.
• Reliability by design: Establish evals, guardrails, and observability (structured outputs, deterministic fallbacks, human-in-the-loop).
• Cost & performance modeling: Build token/latency/TCO models for training and inference; plan capacity, caching, and vendor/infra trade-offs to hit SLA and budget.
• Team formation: Stand up the delivery squad (LLM/ML engineers, backend, data, UX, PM), appoint durable team leads for ongoing run-state.
• Delivery leadership: Drive execution across POC → pilot → production; keep stakeholders aligned with clear communication and artifacts.
• Training strategy: Decide when/if to train models (LoRA, fine-tune, distillation) vs. using existing foundation models.
• Governance & compliance: Integrate data governance, security, and version control into system design.
• Transition & handover: Execute structured Build–Operate–Transfer: runbooks, documentation, dashboards, and knowledge transfer.
• Commercials & pre-sales: Contribute to proposals, estimates, and ROI cases; present to executive and non-technical audiences.

Qualifications

• Strong background in project management and systems architecture (5+ years total across both, not necessarily in AI).
• Proven track record leading cross-functional technical teams from scoping through delivery.
• Exposure to building or integrating AI/ML or data-intensive systems, ideally including LLM-based products.
• Familiarity with the LLM landscape: prompt/program design, tool use/function calling, retrieval strategies, eval methodologies, and guardrails.
• Understanding of model training options (instruction-tuning, LoRA/adapters, preference optimization) and when training is justified.
• Financial/ops acumen: able to build TCO models and capacity plans; comfortable with cloud/infra vendor trade-offs.
• Excellent client-facing communication skills.

Nice to have

• Hands-on familiarity with AI/LLM tools (LangChain, LlamaIndex, vector DBs, OpenAI/Anthropic/Mistral APIs).
• Experience with enterprise integrations (Salesforce, ServiceNow, SAP, etc.).
• Interest in blockchain systems and Web3 infrastructure, ideally with exposure to smart contracts, dApps, or decentralized governance.
• Background in consulting, professional services, or Build–Operate–Transfer models.

What we offer/ Benefits

• Flexible Work Options: Remote-first culture with the opportunity to work from anywhere.
• Global and Diverse Workforce: You'll work with people from various backgrounds and cultures.
• Learning and Development: You'll work on innovative, challenging projects and have access to experts and mentors to enhance your skills.
• Career Growth: Access to training, mentorship, and opportunities to contribute to open-source initiatives.
• Global Events and Conferences: Opportunities to attend the industry events.
• Collaborative and Innovative Culture: We foster teamwork and encourage new ideas.

Our Commitment to Diversity
At Nethermind, we celebrate diversity and are committed to creating an inclusive environment for all team members. We believe a variety of perspectives drives innovation and leads to better solutions for the blockchain community.

Ready to Join Us?
If you're passionate about blockchain and eager to make an impact, we'd love to hear from you. Click
Apply for this Job
to start your journey with Nethermind.