Senior Presales Consultant (AI/ML)

PROGRESSION SEARCH PTE. LTD.; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading AI solutions firm is seeking a Senior Presales Consultant (AI/ML) in Singapore to lead the development and delivery of advanced AI solutions for enterprise clients. This role requires a blend of machine learning expertise and pre-sales skills. Responsibilities include technical discovery sessions, delivering compelling demonstrations, and designing deployment strategies. Ideal candidates have 5+ years in pre-sales, strong generative AI and ML expertise, and excellent communication skills. Willingness to travel up to 50% is required.

Qualifications

• 5+ years experience in pre-sales or sales engineering for AI/ML platforms.
• Demonstrable expertise in Generative AI and ML.
• Proven experience with cloud-native deployments.
• Ability to design and articulate complex AI/ML solutions.

Responsibilities

• Lead technical discovery sessions with customers.
• Deliver technical demonstrations and workshops.
• Build industry-specific AI/ML solutions.
• Advise on MLOps best practices.

Skills

Generative AI expertise

Machine Learning knowledge

Pre-sales solutioning skills

Technical presentation skills

Cloud-native deployment experience

Solution architecture design

Communication skills

Programming in Python

Tools

Kubernetes

AWS

Azure

GCP

Job description

Our Client who is a leader in machine learning and generative AI platforms is seeking for a Senior Presales Consultant (AI/ML) to lead the development and end-to-end delivery of advanced Generative AI, Agentic AI, and Predictive ML solutions for their enterprise clients. This high-impact role blends deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills. You will be instrumental in helping enterprise customers across the APAC region successfully design, adopt, and scale mission-critical AI applications. You'll operate at the intersection of business strategy and cutting-edge technology, ensuring our AI solutions deliver measurable value.

RESPONSIBILITIES

• Pre-Sales & Discovery: Partner directly with Sales to drive cycle success by leading technical discovery sessions, identifying precise customer needs, and designing robust, winning technical proposals and solution architectures.
• Demonstration & POC Leadership: Deliver compelling demonstrations, technical workshops, and detailed Proof-of-Concepts (POCs) across the entire Company platform portfolio (including Driverless AI, EnterpriseGPT, LLM Studio, and MLOps).
• Custom Solution Building: Build and present custom, industry-specific AI/ML/GenAI solutions tailored to vertical challenges in banking, finance, insurance, healthcare, manufacturing, and the public sector.
• GenAI/LLM Architecture: Showcase hands-on expertise in the Generative AI lifecycle, specifically designing and implementing production-ready RAG pipelines, LLM fine-tuning, evaluation, and guardrails.
• Deployment Strategy: Design comprehensive enterprise deployment strategies and reference architectures across various environments (AWS, Azure, GCP, hybrid, and on-prem) using cloud-native tools like Kubernetes.
• MLOps & Governance Guidance: Serve as a trusted advisor, guiding customers on MLOps best practices, CI/CD integration, continuous monitoring, and governance to ensure their AI applications are scalable and production-ready.
• Product Influence & Thought Leadership: Work closely with Product Management to advocate for customer needs and influence the roadmap; contribute to reusable assets, solution blueprints, and external thought leadership.

REQUIREMENTS

• Experience: 5+ years in pre-sales, sales engineering, or solution architecture roles, specifically for enterprise AI/ML platforms.
• Generative AI & ML Expertise: Strong, demonstrable hands-on expertise across both Generative AI (LLM fine-tuning, RAG design, evaluation) and predictive ML algorithms.
• Cloud & Deployment: Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration challenges.
• Solution Design: Ability to effectively design and articulate complex AI/ML solution architectures to diverse stakeholders, ranging from technical engineers to C-level executives.
• Technical Stack: Strong programming skills in Python (preferred), with familiarity in R or Java, and core understanding of MLOps principles.
• Communication: Excellent presentation and communication skills; must be confident leading conversations and workshops with both large technical and executive audiences.
• Travel: Willingness to travel up to 50% to support strategic accounts and customer engagements.
• Singaporeans ONLY

GOOD TO HAVE

• Prior success running complex POCs, pilots, and executive workshops that demonstrably accelerate customer AI adoption.
• Deep familiarity with the requirements for enterprise security, compliance, and governance in high-stakes AI deployments.
• Demonstrated thought leadership via published blogs, industry conference talks, or significant open-source contributions.