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.

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Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status,militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected byapplicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

AgentOps Engineer – AI Managed Services