Enterprise Solution Consultant

About AI Rudder

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.

Responsibilities：

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

Qualifications：

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.