Senior Presales Consultant

Roles & Responsibilities 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. Tell employers what skills you have Machine LearningLeadershipKubernetesAzureSolutioningPipelinesPresalesSales EngineeringStrategyThought LeadershipProduct ManagementSolution ArchitecturePythonAdvocateBankingArticulate