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 session, 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.
Office Location: SCBD, South Jakarta
Work arrangement: WFO (Work from Office), Monday to Friday
About the Role:
As an AI Solution Architect, you will be at the forefront of our sales efforts, working closely with our clients to understand their unique system needs and develop comprehensive solutions to address clients pain points. Engaging in the RFP/RFI cycles and provide Compliance & Security responses to customer's questions. As we are an AI Agent provider, you will work at the intersection of Large Language Models (LLMs), Voice AI, and Agentic frameworks.
Roles and responsibilities:
- Solution Architecting: Collaborate with the sales team to understand client requirements and develop customized solutions on the basis of Cloud Computing, Cyber Security, Data Centre, Storage, Network with industry best practices, such as HA, DRC and etc.
- Proposal Leadership: Lead the development of comprehensive and compelling responses to Requests for Proposals (RFPs) and Requests for Information (RFIs). Collaborate with cross-functional teams to gather necessary information and ensure timely submissions.
- Security Compliance: Coordinate cross‑functional inputs (DevSecOps, Privacy) and deliver polished answers for customers Security & Compliance questionnaire within deadlines.
- LLM Testing & Evaluation: Support the optimization of models (Both Closed-Sourced and Open Sourced) for voice assistants and chatbots. Assist in tracking performance metrics like WER and TTFS for voice latency.
- Benchmarking & Research: Stay updated on the latest AI research (e.g. multimodal LLM, RAG Frameworks, Agentic AI,) and conduct benchmark tests on latency, token usage, and cost-efficiency.
- Prompt Engineering: In charge of designing and testing with advanced prompt strategies to improve model accuracy and reduce hallucinations in client-specific scenarios.
Requirements:
- Professional Background: Proven experience in a presales or technical consulting role, with a focus on technical solutioning for 5+ years or so.
- Educational Background: Possess a degree in Computer Science, Data Science, AI, or a related technical field.
- Systems Engineering: Strong technical background in system components such as gateway, message queue, caching, database, and etc.
- Cloud Proficiency: Strong experience with one of the major CSP technologies, including but not limited to AliCloud, AWS, GCP, Azure and etc.
- AI Interest: A strong interest in Generative AI, LLMs, and Natural Language Processing (NLP).
- VoIP and Contact Centre Integration: Understanding of VoIP and contact-centre concepts, including SIP, RTP, SIP trunking, and call routing. Familiarity with integrating Voice AI solutions with platforms such as Genesys, Avaya, Cisco, or similar contact-centre systems is preferred.
- Problem Solving: A hacker mindset—willing to experiment, fail fast, and iterate on prompts or code to find a solution.
- Communication: Ability to work collaboratively and explain technical findings clearly. Working language as English.
