We are looking for an experienced Gemini Enterprise Agent Engineer to design, develop, deploy, and govern enterprise AI agents using Gemini Enterprise, Gemini models, and Vertex AI.
Key Responsibilities
- Design and develop multi-agent solutions, including orchestration, grounding, enterprise search, and data connectors.
- Build and optimize RAG pipelines, prompt strategies, and tool/function calling.
- Implement AI governance controls, access management, guardrails, evaluation frameworks, and audit logging.
- Monitor agent performance, security, compliance, accuracy, and reliability.
- Automate agent configuration, evaluation, and deployment using Python and APIs.
- Collaborate with AI engineering, security, compliance, and business teams to deliver production-ready solutions.
Required Skills
- 7+ years of experience in AI/ML engineering, Applied AI, or GenAI platform engineering.
- Hands-on experience with Gemini Enterprise / Agentspace agent development and configuration.
- Strong expertise in Gemini models, Vertex AI, RAG, embeddings, vector search, and multi-agent orchestration.
- Practical experience in AI governance, responsible AI, access controls, and evaluation frameworks.
- Proficiency in Python and working knowledge of GCP, including IAM and Cloud Storage.
Preferred Skills
- Google Cloud certifications.
- Experience with Terraform, Kubernetes/GKE, CI/CD, and monitoring tools such as Cloud Monitoring, Prometheus, or Grafana.
- Familiarity with Model Armor and enterprise AI risk management.