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 and Google Cloud technologies. Key Responsibilities: ·      Design and develop enterprise AI agents using Gemini Enterprise (Agentspace), including multi-agent orchestration and tool integration. ·      Configure enterprise search, data connectors, grounding, and RAG pipelines.·       Integrate Gemini models through Gemini API and Vertex AI. ·      Implement AI governance, access controls, security guardrails, and responsible AI policies. ·      Establish agent evaluation frameworks, monitoring, audit logging, and performance optimization. ·      Prevent hallucinations, prompt injection, data leakage, and unauthorized access. ·      Automate agent development, evaluation, and deployment workflows using Python and APIs. ·      Collaborate with AI, data, security, compliance, and business teams to deliver production-ready solutions. Minimum Requirements:·      7+ years of experience in AI/ML engineering, Applied AI, or Generative AI platforms.·      Hands-on experience with Gemini Enterprise (Agentspace), including agent design, grounding, enterprise search, and data connectors. ·      Strong experience with Gemini models, Vertex AI, prompt engineering, tool/function calling, and RAG. ·      Practical experience implementing AI governance, guardrails, evaluation frameworks, and audit logging. ·      Strong Python programming and API integration skills. ·      Understanding of embeddings, vector search, and multi-agent orchestration. Working knowledge of GCP, including IAM, Cloud Storage, and networking. Good to Have: ·      Google Cloud certifications in Machine Learning or Cloud Architecture. ·      Experience with Terraform, Kubernetes/GKE, and CI/CD pipelines. ·      Familiarity with Model Armor, Agent Development Kit (ADK), monitoring tools, and responsible AI frameworks. ·      Exposure to other enterprise GenAI platforms such as OpenAI, Anthropic, or open-source LLMs.