IT Application Support Specialist L2 (Agentic AI Engineer)

Job Description

. 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.

. 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.