Tech Lead (ARIP- Platform) - CP Axtra at Makro PRO

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Multi-agent Orchestration, LLM Optimization, Distributed Systems, Observability, Knowledge Graphs, Architectural Decision Records, LangGraph, CrewAI, OpenTelemetry, Langfuse, API Design, Technical Leadership

Industry

Software Development

Description

Senior technical leader and architectural owner for ARIP Layers 2–4: Semantic Fabric (KGIP consumption from DEAA), Decisioning (ARIP-side D-01/D-04/D-11–13), and Agent Runtime (LangGraph / CrewAI, HITL gates, Trust Gate Framework, observability). Co-chairs the Architecture Review Board. Leads 5–6 ICs including 2 AI Engineers and 1 ML Engineer. Key Responsibilities: Own Layer 2–4 reference architecture; co-chair Architecture Review Board (fortnightly) with Head of ARIP; author ADRs for D-004 (KG build/buy), D-005 (agent framework), D-006 (LLM provider) Build and own Agent Runtime (Layer 4): framework deployment, Trust Gate Framework (Shadow → Recommender → Executor), Agent Registry, HITL gates, OpenTelemetry + Langfuse observability Finalise KGIP consumption contract with DEAA: KG access, Semantic Layer API, Data Product Catalogue subscription, Event Stream ingestion Build Layer 3 ARIP-side decisioning: D-01 Decision Orchestrator, D-04 Trust Gate Service, D-11/D-12/D-13 agent-side helpers; consume DEAA's LLM Gateway (D-02) and Vector Search (D-03) Own per-agent cost meter, Layer 4 SLOs (P95 invocation, success rate, HITL response time), and incident response for runtime failures Lead and mentor 5–6 ICs (platform-side Senior SWEs, 2 AI Engineers, 1 ML Engineer) on agent engineering discipline and eval-driven development 8+ years software engineering; 3+ years as Tech Lead / Staff owning platform standards with architectural decision authority Production multi-agent orchestration with HITL gates and eval-driven CI — LangGraph / CrewAI / AutoGen or equivalent (not just RAG demos) Expert with at least one major LLM provider (Azure OpenAI / Anthropic / Bedrock / Vertex) in production with cost and latency optimisation Strong distributed systems, observability (OpenTelemetry, Langfuse), and API-first service contract discipline Knowledge graph or semantic-layer production experience preferred (KGIP consumption design requires it); ADR authorship and ARB facilitation at senior level Calibre: Staff/Principal Engineer from Agoda, Grab, Shopee, AI-native startups (Anthropic-adjacent) with multi-agent production experience

Responsibilities

Lead the architectural design and ownership of ARIP Layers 2-4, focusing on semantic fabrics, decisioning, and agent runtimes. Manage and mentor a team of AI and ML engineers while co-chairing the Architecture Review Board.