AI Deployed Engineer (Agentic)

Mode : Hybrid-50% travel required to the customer place and the CSAs will get the complete travel reimbursement from the client if the customer location is more than 50 Kms

Shift : Normal Shift with Occasional off hour meetings

Location : Singapore

Language: English, Mandarin 

Experience - 10+ years of experience.

JOB DESCRIPTION

Azure Platform • Day 2 Operations • Agentic Solution Support

Role Summary

We are seeking an AI Deployed Engineer (Agentic) to serve as a forward-deployed engineer on the agentic project team — partnering closely with the customer to build, deploy and operate agentic AI solutions end to end. In this hands-on role you will design and build full-stack systems and AI agents, writing production-grade code to take solutions from first prototype through to stable production, and then support Day 2 operations to keep the Azure platform underpinning the solution healthy, secure and cost-efficient. You will embed with customer teams to understand their needs and guide adoption, leverage SRE agents to automate routine operations, and codify working patterns into reusable tools and playbooks — all within a secure government environment.

Key Responsibilities

• Build agentic solutions (software development): Design and build full-stack systems and AI agents, writing production-grade code that takes solutions from first prototype through to stable production.
• Embed with the customer: Work closely with customer teams to understand their needs, scope work, sequence delivery, remove blockers early and guide adoption.
• Own end-to-end delivery: Own technical delivery across deployments, making trade-offs between scope, speed and quality and adjusting plans to protect delivery.
• Codify and share: Turn working solutions into reusable tools, playbooks and building blocks, and share field feedback that helps improve model and product performance.
• Azure platform operations: Maintain the Azure platform and virtual machines (including the GitHub server).
• Backup and resilience: Perform and verify GitHub server backups, using SRE agents to automate uptime checks and backups where possible.
• DevOps and CI/CD: Operate and maintain GitHub Actions pipelines, validating that pipelines continue to work after upgrades.
• Container platforms (ACA / ACR): Manage Azure Container Apps and clean up the Azure Container Registry.
• App Services and Functions: Update and maintain frameworks for App Services and Function Apps.
• Security operations: Pipe logs to Azure Monitor and Microsoft Sentinel, triage and close alerts, and monitor application performance via dashboards (working with developers to pipe crash logs and build dashboards).
• Identity and access (IAM): Review RBAC access for personnel and maintain least-privilege access.
• Cost and support: Produce cost reporting to the customer and monitor support tickets (service requests and issues) through to resolution.

Required Qualifications

• Production-grade software development proficiency in Python, JavaScript or comparable stacks, with the ability to contribute directly in code.
• Experience building or deploying systems powered by LLMs, agentic AI or generative-AI models.
• Experience scoping and delivering complex systems in fast-moving or ambiguous environments, including customer-facing technical delivery.
• Hands-on experience operating and maintaining Microsoft Azure platforms in production (Virtual Machines, App Services, Function Apps).
• Experience with Azure Container Apps (ACA) and Azure Container Registry (ACR).
• Strong DevOps / CI-CD experience, particularly GitHub Actions pipelines.
• Experience with Azure Monitor and Microsoft Sentinel for logging, monitoring and security alert handling.
• Working knowledge of IAM / RBAC and cloud security best practices.
• Experience supporting Day 2 / run-and-maintain operations — patching, backups, incident and ticket handling — with an SRE mindset.
• Ability to communicate clearly with engineers, product teams and customer stakeholders, with sound judgement under pressure.
• Singapore Citizen who is eligible to obtain and maintain Singapore Government security clearance, and willing to undergo the required MINDEF vetting process.
• Willingness to work on-site at client premises, including secured MINDEF facilities, as required.

Performance Evaluation

Performance in this role will be assessed through periodic performance feedback evaluation provided directly by the customer (MINDEF). The successful candidate is expected to consistently meet the customer's quality, delivery, and professionalism standards throughout the engagement.

Preferred Qualifications

• Experience with agentic AI solutions and using SRE agents to automate operational tasks.
• Prior experience working within secured or classified government environments.
• Microsoft certifications such as Azure Administrator Associate (AZ-104), DevOps Engineer Expert (AZ-400), Azure Security Engineer (AZ-500) or Security Operations Analyst (SC-200).
• Experience with container platforms and cloud-native application deployment on Azure.

What We Offer

The opportunity to work at the forefront of enterprise AI and agentic solutions, delivering and operating mission-critical systems for one of Singapore's most security-conscious public-sector clients. You will join a team that values technical excellence, continuous learning, and real-world impact.

This job description is intended to convey the general nature and scope of the role and is not an exhaustive list of duties. Requirements may evolve in line with client and project needs.