Artificial Intelligence

• Coach learners on Mandarin pronunciation, tones, and intonation.
• Assess speech patterns and identify areas for improvement.
• Provide clear and practical feedback after each session.
• Create tailored exercises and voice-training materials.
• Support learners with different proficiency levels and communication goals.
• Deliver sessions through remote collaboration platforms.
• Track progress and adjust coaching methods when needed.
• Share feedback with the project team to improve training approaches.

Chinese Voice Coach – AI Training

• Develop and deliver training programs and sessions on Generative AI platforms (e.g., ChatGPT, other business-relevant tools).
• Customise learning pathways to meet the specific needs of different business functions (e.g., marketing, design, operations).
• Conduct engaging workshops, webinars, and one-on-one coaching sessions to facilitate knowledge sharing and team upskilling.
• Develop training content focused on prompt engineering to enhance team proficiency in using GenAI tools effectively.
• Create and deliver lessons on advanced prompt strategies for business use cases to drive better results from AI tools.
• Foster AI fluency across teams, helping them understand the potential and limitations of AI applications in their respective roles.
• Provide training on how to integrate AI tools into daily workflows to solve business problems, improve operational efficiency, and contribute to ROI.
• Work closely with business units to identify workflow bottlenecks and demonstrate how AI can optimise processes and improve performance.
• Develop training programs that teach teams how to use AI tools to improve their workflows, reduce inefficiencies, and drive better ROI.
• Provide coaching on the practical application of GenAI tools for individual and group needs.
• Support AI adoption across teams with hands-on examples and real-world business applications.
• Design and develop structured, clear, and engaging training materials, including case studies, exercises, and assessments focused on AI and its business applications.
• Keep training content up-to-date with the latest advancements in AI tools and best practices.

Generative AI Trainer – Coach

• Promote the adoption of Red Hat's solutions at key enterprise accounts
• Define requirements and deliver solutions based on the Red Hat portfolio
• Lead medium to large-sized project teams and ensure quality of customer deliverables
• Apply consulting, business, and process expertise in work
• Coach and mentor others while building good customer relationships
• Match customer requirements with functional capabilities of solutions
• Design and implement modern platform architectures using Red Hat OpenShift
• Win customer confidence through delivery of discovery, analysis, and design workshops
• Act as a trusted advisor to Red Hat and customer resources
• Consider customer culture in design and delivery, highlight opportunities for improvement
• Support technical pre-sales efforts, workshops, and proofs of concept
• Demonstrate strong experience in defining best practices for platform deployment
• Accelerate collaboration across stakeholders and project teams
• Deliver workshops, discovery sessions, architecture reviews, and knowledge transfer
• Mentor and guide junior consultants and customer engineers
• Contribute to Red Hat’s internal methodologies and consulting assets
• Stay current with emerging technologies and incorporate them into customer solutions

Senior Consultant – OpenShift, OpenStack, Virtualization, AI

• Own the technical strategy, systems, team and operating model required to turn TSC's data into reliable, differentiated and commercially valuable AI-powered intelligence.
• Define TSC's AI technical strategy across stakeholder mapping, classification, summarisation, entity resolution, risk detection, insight generation and workflow automation.
• Identify and frame high-value AI opportunities based on customer problems, decision workflows and TSC's differentiated data assets.
• Partner with Product to translate ambiguous customer needs into measurable product requirements, acceptance criteria and release sequencing.
• Define the appropriate technical approach for each use case, including deterministic software, machine learning, retrieval, LLMs, agents and human review.
• Own the end-to-end lifecycle of material AI capabilities, from data and evaluation design through deployment, monitoring, incident response and continuous improvement.
• Build TSC's evaluation system for AI products, including golden datasets, regression tests, retrieval-quality checks, extraction and hallucination metrics, human-review thresholds and business KPIs.
• Define release-quality standards and ensure AI features are observable, testable, traceable and reversible.
• Establish governance for model and agent use, including prompt injection, data leakage, tool permissions, approval workflows, audit logs and customer-specific restrictions.
• Own the data foundations behind TSC's intelligence products: ingestion, transformation, enrichment, entity resolution, labelling, retrieval, freshness, telemetry and feedback loops.
• Architect production AI systems using LLM APIs, specialised and open-source models, retrieval, deterministic orchestration and tool-using agents where appropriate.

Head of AI

• Review AI-generated clinical interactions, flag quality issues, and provide feedback to support continuous improvement
• Monitor clinical safety indicators, including escalation accuracy, risk detection, and member outcomes
• Report on clinical quality trends and anomalies to cross-functional stakeholders
• Serve as the clinical voice in product development — translating clinical standards and evidence-based practice into product requirements
• Develop and maintain clinical guidelines and quality frameworks for AI-assisted care delivery
• Identify performance gaps and collaborate with the team to address them
• Support clinical escalation review processes and ensure appropriate care handoffs
• Stay current on clinical literature, regulatory guidance, and emerging best practices in AI-assisted behavioral health

Licensed Clinician, LPC or LCSW

• Lead end-to-end onboarding and activation of merchants across commerce and AI channels
• Manage product catalogs, feeds and data quality to ensure accurate and AI-readable merchant information
• Coordinate with internal teams and external partners to support integrations, tracking and operational readiness
• Monitor transaction flows, reporting accuracy and commission reconciliation
• Analyze merchant performance and identify opportunities to improve visibility, conversion and revenue
• Develop operating procedures, quality controls and merchant playbooks to support scale
• Partner closely with Product, Engineering, Commercial and Finance teams
• Support merchant issue resolution and continuous improvements

Merchant Operations – AI Channel Activation Manager

• Accountable for business growth, company market share and revenue increases.
• Coordinates all company sales activities in the area-of-control.
• Sets quota and goals for organizations.
• Develops tactics to generate new sales.
• Provides input to team on overall sales strategy, cost optimization, and disciplined process management (pipeline review, asset management, demo sales achievement, etc.).
• Ensures optimum sales coverage through direct and partner sales resources and different routes to markets.
• Develops sales resources and management talent to ensure a pipeline of qualified sales talent to support future growth.
• Implementation of master pipeline management.
• Builds lasting, consultative relationships with customer accounts.
• Proactive change management.
• Coach and support sales teams and leadership in developing key and/or difficult account opportunities.
• Builds long-term growth opportunities using the Account Business Planning process.
• Develops the consultative, solution selling capability in their organization to develop compelling business cases to differentiate and highlight the value of the company's broad portfolio.
• Ensures resource deployment encompasses end-to-end selling support (solution partners, SA, ISR, resellers, etc).
• Demonstrates in depth knowledge of the vertical segment and provides external leadership to industry, community, press.
• Engages Global Business Unit Sales Teams (Specialists, Channel Partners, and Alliance Partners) to fully leverage all of the company's products and technology offerings.
• Creates and manages resource plan including staffing of country sales team to ensure pursuit and closure of opportunities, and perpetuation the existing installed base revenue.
• Balances short term with long term planning and resource investment.
• Demonstrates thought leadership by directing the customer's application of technology to new business problems.
• Creates a performance driven culture that ensures the company has the best IT sales force in the industry.

HPC AI Sales Leader

• Lead the design and implementation of scalable, reliable systems
• Make critical architectural decisions with a bias for simplicity and maintainability
• Own the health and performance of core services
• Review code and enforce high standards through mentoring and pair programming
• Mentor and support engineers through code reviews, pairing, and design discussions
• Identify skills gaps and help grow technical competencies across the team
• Drive continuous improvement in team processes and engineering culture
• Be a multiplier: unblock, enable, and elevate others
• Collaborate with product managers to scope and deliver features on time
• Break down complex problems into executable chunks
• Track technical debt and prioritize long-term engineering investment
• Proactively raise risks and navigate ambiguity during delivery

AI/ML Lead

• Design, build and operationalize agentic AI solutions in production
• Lead technical discovery, scope agentic AI use cases
• Write production-grade code to deliver solutions
• Build and tune retrieval pipelines, prompt architecture, guardrails, agent orchestration
• Implement enterprise-safe agent tool execution
• Build evaluation suites that catch hallucinations, regressions
• Stay engaged through cutover and first production iteration cycle

Artificial Intelligence jobs in Singapore

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