Lead Full-Stack AI Engineer & Delivery Manager

7600 Accenture Pte Ltd Company; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Accenture is seeking a Full Stack AI Manager who will lead the technical delivery of agentic AI programmes, bridging business needs with scalable solutions. You will be a hands-on engineer, collaborating with clients, translating requirements into designs, and guiding a team of engineers to production-grade systems that drive measurable value.

You will own architecture from agents and orchestration to knowledge layers, RAG pipelines, and evaluation frameworks, while advancing DevOps, governance,

Qualifications

• 3+ years building LLM-based applications in production with ownership of deployed systems.
• 2+ years delivering agentic AI systems with autonomous components in production.
• Hands-on experience with at least one agent orchestration framework in production.
• Experience across the Agent Development Lifecycle: spec, harness, integration, eval, deployment, observability, refinement.
• Bachelor's degree in related field; Master's highly valued.

Responsibilities

• Architect and deliver agentic AI solutions end‑to‑end with production quality.
• Design agent harnesses, orchestration topologies, and LLM gateway configurations.
• Build MCP servers, knowledge layers, and retrieval systems (RAG, text-to-SQL, Elasticsearch).
• Establish prompt architecture standards, versioning, A/B testing, and reasoning patterns.
• Lead a team of Consultants and Analysts, guiding delivery in agile environments.
• Develop and enforce DevOps/AgentOps/LLMOps practices and governance.

Skills

Full stack engineering

Python

React

Angular

Node.js

LangGraph

AutoGen

CrewAI

AWS

CI/CD

LLMOps

Elasticsearch

Text-to-SQL

Education

Bachelor's degree in a related field

Master's degree valued

Tools

LangGraph

AutoGen

CrewAI

AWS Strands

Elasticsearch

Text-to-SQL

Job description

Accenture is seeking a Full Stack AI Manager who will lead the technical delivery of agentic AI programmes, bridging business needs with scalable solutions. You will be a hands-on engineer, collaborating with clients, translating requirements into designs, and guiding a team of engineers to production-grade systems that drive measurable value.

You will own architecture from agents and orchestration to knowledge layers, RAG pipelines, and evaluation frameworks, while advancing DevOps, governance,