AI Enablement Manager

Atlantic Partners Asia; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

Atlantic Partners Asia seeks an experienced AI/ML engineer to lead GenAI initiatives from KL Sentral, integrating Copilot Studio and delivering secure, end-to-end AI solutions tailored to business needs such as KYC automation and CRM workflows.

You will collaborate with compliance, onboarding, and sales to translate complex problems into deployed AI products while upholding responsible AI, scalability, and measurable outcomes in a fast-paced startup environment.

Qualifications

• 5+ years of experience in software engineering, AI/ML, or data-driven product development.
• Hands-on experience with Microsoft Copilot, Copilot Studio, or similar GenAI platforms.
• Strong understanding of LLMs, prompt engineering, and responsible AI principles.
• Experience working with enterprise systems (CRM, KYC platforms, workflow tools).
• Excellent problem-solving, communication, and stakeholder management skills.
• Ability to thrive in a fast-paced, ambiguous environment.

Responsibilities

• Design & build AI applications: end‑to‑end LLM/ML solutions (chat/agent experiences, RAG pipelines, workflow automation).
• Develop task‑specific agents & copilots for internal teams using Copilot Studio and integrate with business systems (e.g., Dynamics 365, SharePoint, Microsoft 365).
• Integrate with our AI data lake: retrieval, embeddings, vector indexing, guardrails, high-quality grounding for LLMs.

Skills

AI/ML experience

Software engineering

Data-driven product

Tools

Copilot Studio

Microsoft Copilot

Job description

Leading the implementation of GenAI across teams in APA, ensuring the right safeguards are in place. This includes integrating Microsoft Copilot and developing bespoke copilots and agents using Copilot Studio—tailored to real business needs such as KYC automation, transaction monitoring, document synthesis, and CRM productivity. Based in a startup-style environment at KL Sentral, the team offers enthusiastic and curious engineers the opportunity to make an outsized impact.

Job Duties and Responsibilities

• Design & build AI applications: deliver end‑to‑end LLM and ML solutions (chat/agent experiences, RAG pipelines, workflow automation), from discovery and data prep to deployment and monitoring.
• Develop task‑specific agents & copilots: create secure copilots for internal teams using Copilot Studio and integrate with business systems (e.g., Dynamics 365, SharePoint, Microsoft 365).
• Integrate with our AI data lake: implement retrieval, embeddings, vector indexing, and guardrails, ensuring high‑quality grounding for LLMs and auditable outputs.
• Productionize responsibly: apply MLOps/GenAIOps (experiment tracking, model registry, CI/CD, telemetry, model & prompt evaluation, rollback strategies) with cost, latency, and safety in mind.
• Security, risk & compliance: build with least‑privilege, data‑loss prevention, PII protection, and policy alignment (auditability, content filtering, red‑teaming).
• Cross‑functional collaboration: partner with onboarding, compliance, sales/CRM, and treasury to translate problems into deployable AI solutions with measurable outcomes.
• Engineering excellence: write clear design docs/RFCs, participate in design & code reviews, and contribute to shared components, templates, and internal best practices.

Job Requirements

• 5 years+ of experience in software engineering, AI/ML, or data-driven product development
• Hands‑on experience with Microsoft Copilot, Copilot Studio, or similar GenAI platforms
• Strong understanding of LLMs, prompt engineering, and responsible AI principles
• Experience working with enterprise systems (e.g., CRM, KYC platforms, workflow tools)
• Excellent problem‑solving, communication, and stakeholder management skills
• Ability to thrive in a fast‑paced, ambiguous environment