Senior Manager - Agentic AI & Full-Stack Delivery

7600 Accenture Pte Ltd Company

Singapore

On-site

SGD 180,000 - 250,000

Full time

14 days+
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Job summary

Accenture is seeking a Senior Manager for Data & AI to lead complex agentic AI programmes, bridging business transformation with advanced engineering. You will own problem diagnosis, value hypotheses, and production delivery while shaping client relationships and practice growth.

The role requires deep technical authority, hands-on design decisions, and ongoing learning in AI developments, with responsibility across architecture, governance, and large-scale delivery in enterprise environments.

Qualifications

  • 3+ years building and operating agentic AI systems in production.
  • 3+ years building LLM-based applications (RAG, tool-calling, prompts).
  • Experience leading client-facing business transformation programmes.
  • 8+ years in classical AI/ML, data engineering, analytics.
  • 10+ years full stack engineering with enterprise delivery.
  • 8+ years cloud-native development on AWS/Azure/GCP.

Responsibilities

  • Lead discovery and visioning engagements; diagnose opportunities; define target operating model.
  • Drive the technical design and delivery of production agentic systems.
  • Own senior client relationships across programmes; accountable for delivery and outcomes.
  • Define knowledge layer architecture and governance; establish CI/CD and observability.
  • Contribute to proposals, pricing, and commercial development; mentor teams.

Skills

Agentic AI systems
LLM-based applications
Senior stakeholder mgmt
Full stack engineering
Cloud-native development
Technical leadership
Enterprise digital transformation

Education

Bachelor's degree in related field
Master's in CS/AI/Engineering is valued

Tools

AWS
Azure
GCP
SAP
Salesforce
ServiceNow

Job description

Accenture is seeking a Senior Manager for Data & AI to lead complex agentic AI programmes, bridging business transformation with advanced engineering. You will own problem diagnosis, value hypotheses, and production delivery while shaping client relationships and practice growth.

The role requires deep technical authority, hands-on design decisions, and ongoing learning in AI developments, with responsibility across architecture, governance, and large-scale delivery in enterprise environments.

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