AI Deployed Engineer (Agentic)

CNX

Singapore

On-site

SGD 120,000 - 180,000

Full time

5 days ago
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Job summary

Concentrix is seeking an AI Deployed Engineer (Agentic) to join the technical products team in Singapore. You will design, build, and operate agentic AI solutions, embedding with client teams to understand needs and guide adoption.

The role requires production-grade coding, Azure expertise, and strong DevOps practices. You will collaborate on end-to-end delivery, maintain Azure-based platforms, and ensure secure, cost-efficient operations while supporting Day 2 activities and post-deployment

Qualifications

  • Production-grade software development in Python and/or JavaScript.
  • Experience building or deploying systems powered by LLMs or agentic AI.
  • Experience delivering customer-facing technical solutions in fast-moving environments.
  • Hands-on operation of Microsoft Azure in production environments (VMs, App Services, Function Apps).

Responsibilities

  • Build agentic solutions (software development): design and build full-stack systems and AI agents, writing production-grade code from prototype to production.
  • Embed with the customer: work with customer teams to understand needs, scope work, and guide adoption.
  • Own end-to-end delivery: manage deployments, trade-offs, and delivery plans.
  • Codify and share: turn solutions into reusable tools, playbooks, and patterns, with field feedback.
  • Azure platform operations: maintain Azure platform and virtual machines (including GitHub server).
  • Backup and resilience: perform and verify GitHub backups and uptime checks with SRE help.
  • DevOps and CI/CD: operate GitHub Actions pipelines and ensure pipelines survive upgrades.
  • Container platforms (ACA/ACR): manage Azure Container Apps and container registry.
  • App Services and Functions: update frameworks for App Services/Function Apps.
  • Security operations: monitor logs with Azure Monitor and Sentinel, triage alerts, dashboards.
  • IAM: review RBAC and maintain least-privilege access.
  • Cost and support: report costs and manage support tickets through to resolution.

Skills

Python
JavaScript
LLM deployments
Customer-facing delivery
Azure in production
GitHub Actions
DevOps
IAM/RBAC security

Tools

Azure
Azure Monitor
Microsoft Sentinel
GitHub Actions

Job description

Job Title:

AI Deployed Engineer (Agentic)

Job Description

We’re Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as “World’s Best Workplaces,” “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

Join us and be part of this journey towards greater opportunities and brighter futures.

Job Title

AI Deployed Engineer (Agentic)

Level

L400

Employment Type

Full-time

Security Requirements

Singapore Citizen, eligible to obtain and maintain Singapore Government security clearance (MINDEF vetting)

Location

Singapore (on-site at client premises, including secured MINDEF facilities, as required)

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.

Location:

SGP Work-at-Home

Language Requirements:

Time Type:

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