GenAI Agent Architect for Enterprise Gemini

PERSOL TECH SERVICES PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PERSOL TECH SERVICES PTE. LTD. is seeking an experienced AI/ML engineer to design and implement enterprise agents on Gemini Enterprise.

You will own agent architecture, grounding, data connectors, and multi-turn conversations, integrating Gemini models via API or Vertex AI and optimizing RAG pipelines. You will work with security, legal, and compliance stakeholders to ensure responsible-AI practices, governance, and auditable workflows while collaborating across data science and engineering

Qualifications

• Bachelor’s degree in CS/IT/SE or related field.
• 7+ years in AI/ML engineering or GenAI with hands-on agent work.
• Hands-on building/configuring agents on Gemini Enterprise (Agentspace).
• Strong experience with Gemini models via API or Vertex AI.
• Practical AI governance: access controls, guardrails, audit logs.
• Understanding of LLM patterns: RAG, embeddings, vector search.
• Strong Python for automation, tooling, and integration.
• Collaborates with data science, security, and business teams.
• Familiar with GCP IAM, Storage, networking for collaboration.
• Terraform, Kubernetes (GKE), CI/CD experience.
• Monitoring stacks: Prometheus, Grafana, Datadog.

Responsibilities

• Design, build, and own multi-agent solutions on Gemini Enterprise.
• Configure grounding, enterprise search, and data connectors.
• Integrate Gemini models into agents and apps via API/Vertex AI.
• Design and productionize RAG pipelines and retrieval strategies.
• Continuously evaluate agent quality: accuracy, latency, cost.

Skills

AI/ML engineering

GenAI platforms

Gemini Enterprise

Grounding & RAG

Python

Terraform/Kubernetes

GCP

Security & governance

Communication

CI/CD

Education

Bachelor's degree in CS/IT/SE

Tools

Gemini API

Vertex AI

Prometheus

Grafana

Datadog

Kubernetes

GKE

Job description

PERSOL TECH SERVICES PTE. LTD. is seeking an experienced AI/ML engineer to design and implement enterprise agents on Gemini Enterprise.

You will own agent architecture, grounding, data connectors, and multi-turn conversations, integrating Gemini models via API or Vertex AI and optimizing RAG pipelines. You will work with security, legal, and compliance stakeholders to ensure responsible-AI practices, governance, and auditable workflows while collaborating across data science and engineering