#EG AI Tech Lead

Date: 2026-06-17

Location: Singapore, , Singapore

Company: NCS

Job Requisition ID: REF1648D

Company Description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

What will you do?

Technical Delivery

Own end-to-end delivery of AI workstreams: from requirements through data preparation, modelling, integration, testing, and production handover

Develop agentic applications including RAG pipelines, prompt-engineered agents, and agentic workflows using LangChain, LlamaIndex, LangGraph, or plain Python

Build on top of GenAI application stacks including LLM orchestration, observability (Langfuse, Braintrust), guardrails, and LLM gateway patterns (LiteLLM, Portkey)

Implement multi-agent orchestration layer: event routing, resource locking, inter-agent handoff contracts, prompt caching, and shared state management

Implement agentic design patterns including workflow evaluation, LLM-as-Judge, and AI red teaming

Adopt Model Context Protocol (MCP) and Agent-to-Agent (A2A) Protocol as foundational extension mechanisms, enabling agents to operate safely across enterprise ecosystems

Work with AI Solution Architect and Business Analysts on benchmarking and golden-set compilation for agent evaluation

Implement effective RAG architectures: chunking strategies, embedding selection, vector store configuration (Qdrant, Milvus, pgvector), hybrid search, and reranking

Build and maintain evaluation harnesses measuring correctness, faithfulness, latency, and safety. Run continuous LLM-as-Judge evaluation on production traces

Write clean, maintainable Python; participate in code reviews; contribute to shared AI platform libraries

OSS Integration & Data Engineering

Implement REST, NETCONF/YANG, SNMP trap ingestion, and gNMI streaming telemetry integrations connecting agents to NMS and EMS systems

Build ServiceNow integrations for ticket read/write, triage updates, change record queries, and human-in-the-loop approval workflow triggers for the Execution Agent

Build the alarm and telemetry data normalisation pipeline converting multi-vendor OSS data into agent-consumable schemas

Implement Kafka or equivalent event streaming consumers delivering real-time alarm data to the Alarm Correlation and Ticket Triaging agents

Work with data and integration engineers to normalise multi-vendor, multi-format network telemetry into consistent schemas the agents can reason over

Safety, Guardrails & Risk

Implement guardrail architectures: hard limits, soft limits with human confirmation flows, blast radius controls, and escalation logic

Assist the AI Solution Architect to assess blast radius for each agent — documenting worst-case impacts and designing specific mitigating controls

Implement and validate rollback procedures for all agent-initiated network actions, including automated rollback triggers based on post-execution KPI degradation

Work with QA engineers to design and test solutions via defined test cases, and review required improvements

Ensure all agent architectures comply with IMDA regulatory requirements, AIVerify framework requirements, InfoSec policies, and CMB change governance frameworks

Observability & Evaluation

Implement the Decision Audit Trail schema for all agents ensuring every decision is fully traceable, explainable, and available for post-incident review

Build the Agent Operations Dashboard for the NOC team: real-time agent status, decisio