- Location
- Singapore, Raffles City Tower
- Type
- Full-time
- Department
- Engineering
- Source
- Workday
Description
Location: Singapore
About the role:
Build the next generation of AI-powered managed services by developing intelligent agents, copilots, and automation workflows that deliver real business outcomes. This role focuses on designing scalable AI solutions, integrating enterprise systems, and creating reusable assets that accelerate adoption across clients and industries.
Key Responsibilities
- Design, build, test, and deploy AI agents, copilots, RAG-enabled solutions, and intelligent workflows.
- Develop reusable agent components, prompts, orchestration flows, APIs, and integration accelerators.
- Integrate AI solutions with enterprise platforms, knowledge repositories, ticketing systems, mobile applications, and cloud services.
- Build Retrieval-Augmented Generation (RAG) solutions that enable agents to access trusted enterprise knowledge.
- Implement guardrails, workflow controls, human-in-the-loop checkpoints, logging, and monitoring for production readiness.
- Collaborate with Solution Architects, AI Quality Engineers, and AgentOps teams to scale successful prototypes into enterprise-grade managed services solutions.
Required Qualifications
- Proven experience in Python development.
- Experience developing APIs and enterprise system integrations.
- Experience with workflow automation, Generative AI, and/or Retrieval-Augmented Generation (RAG) solutions.
- Strong understanding of software engineering principles, system design, and application development.
- Experience working with cloud-native applications and modern development practices.
Preferred Qualifications
Experience with agent frameworks such as LangGraph, CrewAI, Semantic Kernel, AutoGen, or LangChain.
Experience building AI assistants, copilots, multi-agent systems, or intelligent automation solutions.
Knowledge of AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Experience integrating with enterprise platforms such as SAP, Salesforce, ServiceNow, or SuccessFactors.
Familiarity with DevOps, CI/CD, observability, and production support practices.
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
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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills
PythonAWSAzureGCPCI/CDSalesforceSAPServiceNowDevOps
