Enterprise Solution Consultant

AI Rudder; Singapore; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

AI Rudder is seeking an Enterprise Solutions Engineer to partner with sales and customers on complex AI-driven deployments. You will articulate technical architectures, lead discovery, and define scalable integration patterns across cloud environments.

The role requires strong API, integration, and SaaS knowledge, plus experience in pre-sales or solution architecture. You will collaborate with IT, security, and infrastructure teams to ensure successful, secure deployments.

Qualifications

• Must be able to lead technical conversations with enterprise customers.
• Experience in Solutions Engineering, Pre-Sales, or similar roles.
• Knowledge of REST APIs, webhooks, JSON, and data flows.
• Familiarity with SaaS architectures and multi-tenant environments.

Responsibilities

• Lead business and technical discovery, understand customer architecture, and design scalable end-to-end solutions.
• Define solution architecture, APIs, integrations, data flows, and deployment approaches with customer teams.
• Design and manage POCs, define success criteria, address technical requirements and objections.
• Own the technical side of complex sales cycles with Sales to close deals.
• Work with IT, Security, Architecture, and Infrastructure on data residency, security, scalability, and HA.
• Balance customer needs with feasibility, cost, scope, and deal likelihood.
• Communicate clearly with technical and business stakeholders in English.

Skills

APIs

Integrations

System architecture

Cloud environments

Pre-Sales

Solution Architecture

Sales collaboration

English communication

Tools

AWS

Azure

GCP

Job description

AI Rudder is a conversational AI company on a mission to transform how businesses communicate with their customers - across voice and digital channels that feel genuinely human.

Founded in 2019 and headquartered in Singapore, we're building technologies that bridge languages, enhance understanding, and enable meaningful human-machine communication at scale.

Today, we serve 500+ enterprise clients globally processing 50 million calls daily and having delivered more than 8 billion calls to date.

Most recently, we have raised $50M in a Series B fundraising from leading global investors including Tiger Global, Peak XV Partners, and Cathay Innovation.

How We Work

AI-first: AI isn't a tool we reach for. It's the default we start from. Every team, every workflow: AI-first.

Global Collaboration: We operate globally and work as one team. Distance is a logistics problem, not a cultural one. We build the habits that make distributed teams actually work.

Communication Principle: Simple, Trust, Transparent. We remove unnecessary complexity so people can focus on what matters most.

What We Offer

• Learning & Development: Continuous learning through real projects, knowledge-sharing sessions, mentorship, and cross-functional collaboration.
• Performance Recognition: Regular performance reviews, feedback, and opportunities for career progression.
• Global Exposure: Collaborate with international teams, global rotations, and work with global enterprise customers.
• Meaningful Impact: Build AI solutions that create real value for businesses around the world.
• Ownership & Autonomy: Freedom to take initiative and drive outcomes.
• Team Engagement: Team Building, Local & Global Gatherings & Local Events Celebration.

AI Rudder is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants.

• Technical Discovery & Solution Design: Lead business and technical discovery, understand customer architecture and requirements, and design scalable end-to-end solutions.
• Architecture & Integrations: Define solution architecture, APIs, integrations, data flows, and deployment approaches in collaboration with customer technical teams.
• POC & Technical Validation: Design and manage POCs, define success criteria, and address technical requirements and objections.
• Enterprise Deal Leadership: Own the technical side of complex sales cycles, working closely with Sales to remove blockers and drive deals to technical closure.
• Enterprise Readiness: Work with IT, Security, Architecture, and Infrastructure teams on requirements such as data residency, security, scalability, high availability, and deployment models.
• Commercial Partnership: Balance customer needs with technical feasibility, implementation complexity, cost, scope, and the overall likelihood of winning the deal.

Technical Expertise (Must-Have): Strong understanding of APIs, integrations, system architecture, and cloud environments. Able to lead technical conversations independently.

Enterprise Pre-Sales Experience: Experience in Solutions Engineering, Solution Consulting, Pre-Sales, Solution Architecture, or a similar customer-facing technical role supporting complex enterprise deals.

API & Integration Knowledge: Understanding of REST APIs, webhooks, authentication, JSON, system-to-system integrations, and data flows.

Enterprise Architecture: Familiarity with SaaS architecture, AWS/Azure/GCP, multi-tenant and single-tenant environments, private networks, scalability, and high availability.

POC & Enterprise Experience: Experience managing POCs or technical validations and working with enterprise IT, Security, Architecture, and Infrastructure teams.

AI Knowledge: Familiarity with LLMs, RAG, AI agents/workflows, model selection, and enterprise AI integrations. Deep ML expertise is not required.

Commercial Mindset: Ability to understand how technical decisions impact deal size, implementation complexity, cost, scope, and revenue.

Communication: Strong English communication skills, with the ability to communicate with both technical and business stakeholders.