# Tech Lead - AI Platform

**Company:** [Makro PRO](http://jobs.workable.com/companies/1cWkogd8purSPWZfcuHmCe.md)
**Location:** Nawamin Road, Thailand
**Workplace:** on site
**Employment type:** Full-time
**Department:** Technology

[Apply for this job](http://jobs.workable.com/view/78dcbfec-173b-48dc-82e0-808d40b97dc4)

## Description

The Tech Lead — AI Platform is the senior technical leader for the platform runtime, AI engine, and agent-orchestration tier of an AI-native retail decisioning platform. The role is accountable for architectural integrity, build vs buy decisions, integration with upstream data and knowledge-graph services, and the agent runtime's safety and scale properties — and leads a team of senior software, AI, and ML engineers. 

**Remote candidates outside of Thailand are welcome to apply.**

### **Key Responsibilities:**

-   Own the reference architecture for the platform's runtime, decisioning, and agent-execution tiers; co-chair the Architecture Review Board; author Architecture Decision Records. 

-   Design, build, and operate the agent runtime (LangGraph, CrewAI, or chosen framework) — deployment, scale, observability, cost per invocation. 

-   Design and ship an agent autonomy framework with progressive trust levels (shadow / recommender / executor patterns) and measurable gate criteria; operationalise human-in-the-loop patterns for every agent. 

-   Own the agent registry — catalogued, versioned, owned, gated, monitored agents. 

-   Define and operationalise the consumption contract with upstream knowledge-graph, semantic-layer, data-product, and event-stream services from the platform team. 

-   Lead the AI-side decisioning components — orchestrator, trust gate service, agent-side helpers — and coordinate consumption of LLM Gateway and Vector Search services. 

-   Lead a team of senior software, AI, and ML engineers; mentor on agent-engineering discipline; partner with peer Tech Leads on handoffs into application and experience layers. 

-   Own runtime SLOs — invocation P95, success rate, HITL response time — and per-agent cost meter; lead incident response for runtime degradation.

## Requirements

-   Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. 

-   8+ years software engineering with 3+ years in a Tech Lead / Staff role owning platform standards. 

-   Production agentic systems experience — multi-agent orchestration, HITL gates, eval-driven CI; not just RAG demos. 

-   Strong distributed-systems fundamentals — concurrency, message queues, observability, performance. 

-   LLM platform depth — at least one major provider (Azure OpenAI, Anthropic, Bedrock, Vertex) in production with cost / latency optimisation. 

-   API-first design discipline — service contracts, SLOs, versioning, deprecation policies. 

-   Cloud platform experience (Azure preferred; AWS / GCP transferable). 

-   Architectural authorship — has written ADRs, chaired ARB, made build-vs-buy calls with executive sponsors. 

**Preferred Qualifications:**

-   Built or led a production multi-agent platform serving multiple business consumers. 

-   Open-source agent framework contributions (LangChain / LangGraph / AutoGen / DSPy). 

-   Retail / commerce / fintech domain experience; knowledge-graph production experience (Neo4j, Neptune, TigerGraph). 

-   Causal inference exposure (DoWhy / EconML).