AgentOps Engineer – AI Managed Services

Accenture; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Accenture is seeking an AgentOps Engineer to keep AI-powered services running at scale. You will manage reliability, performance, and operational health of enterprise AI agents in production, monitor behavior, optimize costs, and oversee releases post go-live.

Responsibilities include observability design, incident response, and partnering with engineers and AMS teams to enhance reliability, security, and efficiency across enterprise platforms.

Qualifications

• Proven experience in DevOps, SRE, or production operations.
• Experience with monitoring, observability, and operational support tools.
• Experience managing incidents, releases, production support, and service operations.
• Strong understanding of reliability, performance, automation, and operational excellence.
• Excellent problem-solving and stakeholder management skills.

Responsibilities

• Operate, monitor, and support AI agents and platforms in production.
• Design and implement observability, monitoring, incident response, release management, and operational frameworks for AI solutions.
• Monitor agent accuracy, latency, availability, exception rates, user feedback, and token consumption.
• Manage prompt, workflow, and agent releases, including rollback strategies and readiness checks.
• Support AI FinOps activities through usage tracking, cost visibility, and reporting.
• Develop runbooks, reliability standards, and lifecycle controls for scalable AI services.
• Collaborate with engineers and AMS teams to improve reliability, security, and cost efficiency.

Skills

DevOps

SRE

Production ops

Monitoring tools

Incident management

Release management

Stakeholder management

Tools

CI/CD pipelines

Terraform

Bicep

AWS

Azure

GCP

Observability tools

Job description

Location: Singapore

About the Role

Keep AI-powered services running at scale. As an AgentOps Engineer , you will manage the reliability, performance, and operational health of enterprise AI agents in production. You will play a critical role in monitoring agent behavior, optimizing costs, managing releases, and ensuring AI solutions remain secure, reliable, and business-ready after go-live.

Key Responsibilities

• Operate, monitor, and support AI agents, copilots, and Agentic Managed Services platforms in production environments.
• Design and implement observability, monitoring, incident response, release management, and operational support frameworks for AI solutions.
• Monitor agent accuracy, latency, availability, exception rates, user feedback, token consumption, and operational performance.
• Manage prompt, workflow, and agent releases, including rollback strategies, production controls, and readiness checks.
• Support AI FinOps activities through usage tracking, cost visibility, performance optimization, and consumption reporting.
• Develop operational runbooks, reliability standards, and lifecycle controls to ensure scalable and supportable AI services.
• Partner with Agentic Engineers, AI Quality Engineers, Solution Architects, and AMS teams to continuously improve reliability, security, and cost efficiency.

Required Qualifications

• Proven experience in DevOps, Site Reliability Engineering (SRE), or production operations.
• Experience with monitoring, observability, and operational support tools.
• Experience managing incidents, releases, production support, and service operations.
• Strong understanding of reliability, performance, automation, and operational excellence practices.
• Excellent problem-solving and stakeholder management skills.

Preferred Qualifications

• Experience supporting AI, Generative AI, copilots, agents, or intelligent automation platforms.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, or equivalent), and platform engineering practices.
• Familiarity with AI observability, AI FinOps, cost optimization, and performance monitoring.
• Experience working with enterprise platforms such as SAP, Salesforce, ServiceNow, or SuccessFactors.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

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