GenAI

SPI GLOBAL CONTENT HOLDING PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

SPI GLOBAL CONTENT HOLDING PTE. LTD. in Singapore seeks a Generative AI Technical Lead to drive end-to-end GenAI design and governance across the organization.

You will lead architecture, MLOps, and responsible AI initiatives, collaborating with business leaders and engineering teams to deliver enterprise-grade GenAI solutions.

The role requires 10+ years in tech architecture and 3+ years in GenAI, with hands-on experience deploying LLMs, pipelines, and secure, scalable systems.

Qualifications

• 10+ years in Technical Architecture / Data / ML Engineering.
• 3+ years designing production-grade GenAI solutions.
• Deep expertise in LLMs, Transformers, RAG, prompt engineering.
• Strong experience with AWS, Azure, GCP (Bedrock, OpenAI, Vertex AI).
• Proficiency in Python and ML libraries (PyTorch, TensorFlow).
• Hands-on with vector databases (OpenSearch, Pinecone, Weaviate).
• Strong knowledge of containers (Docker, Kubernetes).
• Experience with data pipelines and modern data architectures.
• GDPR security/privacy awareness.

Responsibilities

• Define GenAI architecture blueprints and tech standards.
• Design RAG pipelines, agentic workflows, fine-tuning.
• Hands-on development of production GenAI apps.
• Evaluate/select LLMs, vector DBs, orchestration frameworks.
• Architect integrations with CRM/ERP/HRIS/data platforms.
• Optimize performance, latency, and GPU/TPU costs.
• Implement Responsible AI governance (bias mitigation, XAI).
• Lead LLMOps – deployment, monitoring, CI/CD.
• Drive GenAI innovation roadmap and pilots.
• Act as GenAI SME for C-level stakeholders.

Skills

GenAI

Technical Architecture

LLMs/Transformers

MLOps

Python ML

Cloud Platforms

Vector DBs

Docker/Kubernetes

Data Governance

Job description

Greetings !!!
We're Hiring | Generative AI Technical Lead
Domain: BFS / BFSI (Preferred)
Experience: 10+ years (3+ years in GenAI / LLM architecture)

Role Summary

We are looking for a Generative AI Technical lead /Engineer , the end-to-end design, and governance of enterprise-grade GenAI solutions. This role will act as the principal technical authority driving scalable, secure, and responsible AI implementations across the organization.

Key Responsibilities

• Define GenAI architecture blueprints, reference architectures, and technology standards


• Design and implement RAG pipelines, agentic workflows, and model fine-tuning frameworks


• Hands-on development of production-grade GenAI applications


• Evaluate and select LLMs, vector databases, and orchestration frameworks


• Architect integrations with enterprise platforms (CRM, ERP, HRIS, data platforms)


• Optimize performance, latency, and GPU/TPU cost efficiency


• Implement Responsible AI governance (bias mitigation, XAI, toxicity filtering, data provenance)


• Lead LLMOps practices - deployment, monitoring, versioning, CI/CD


• Drive GenAI innovation roadmap and emerging technology pilots


• Act as GenAI SME for C-level stakeholders and business leaders

Technical Expertise Required

• 10+ years in Technical Architecture / Data / ML Engineering


• 3+ years designing production-grade GenAI solutions


• Deep expertise in LLMs, Transformers, RAG, prompt engineering


• Strong experience with AWS / Azure / GCP (Bedrock, Azure OpenAI, Vertex AI)


• Proficiency in Python and ML libraries (PyTorch, TensorFlow)


• Hands-on with vector databases (OpenSearch, Pinecone, Weaviate, etc.)


• Strong knowledge of containerization & orchestration (Docker, Kubernetes)


• Experience with data pipelines, embedding, and modern data architectures


• Strong understanding of security, privacy, and regulatory compliance (GDPR)