Senior AI Engineer

Job summary

Design, build, integrate, and deploy agentic AI workflows and agents using Vertex AI, Agent Builder, Python, and cloud-native services. Establish observability, evaluation, testing, governance, and security practices while supporting production operations and collaborating with stakeholders to optimize scalable solutions.

Job details

Key Responsibilities Design and develop agentic workflows using Vertex AI and Agent Builder Build, integrate, and deploy AI agents leveraging Python and cloud-native services. Implement observability, monitoring, and evaluation frameworks for AI systems. Define deployment, governance, and security best practices. Develop testing strategies, validation frameworks, and performance benchmarks. Collaborate with product, engineering, and business stakeholders to deliver scalable solutions. Support production operations, troubleshooting, and continuous optimization. Required Qualifications Minimum 5+ years relevant experience Strong Python development skills Experience with Vertex AI, Agent Builder, and LLM-based application development. Understanding of agent orchestration, RAG architectures, and AI evaluation methodologies. Experience with cloud deployment, monitoring, and governance frameworks. Strong engineering fundamentals and ability to deliver production-ready AI solutions. Excellent communication and stakeholder collaboration skills. Preferred Qualifications Experience with Gemini, enterprise AI platforms, and multi-agent systems. Familiarity with MLOps, CI/CD, and responsible AI practices.

What you’ll do

Design, build, integrate, and deploy agentic AI workflows and agents using Vertex AI, Agent Builder, Python, and cloud-native services. Establish observability, evaluation, testing, governance, and security practices while supporting production operations and collaborating with stakeholders to optimize scalable solutions.

Requirements

Requires at least five years of relevant experience, strong Python skills, and experience with Vertex AI, Agent Builder, and LLM-based applications. Candidates should understand agent orchestration, RAG, AI evaluation, cloud deployment, monitoring, and governance; experience with Gemini, multi-agent systems, MLOps, CI/CD, and responsible AI is preferred.

Listed skills

• Python · Preferred
• CI/CD · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Vertex AI
• Agent Builder
• LLM Application Development
• Agent Orchestration
• RAG Architectures
• AI Evaluation
• Cloud Deployment
• Monitoring
• AI Governance
• AI Security
• Observability
• MLOps
• CI/CD
• Responsible AI
• Stakeholder Collaboration

Job areas

• Technology
• Software
• Engineering
• Data & Analytics

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