What is your mission?

• Design, build, test, deploy, and support Generative Artificial Intelligence applications and intelligent agents on Google Cloud Platform.
• Develop single-agent and multi-agent solutions using Google Agent Development Kit.
• Integrate Gemini models with enterprise applications, databases, application programming interfaces, and business workflows.
• Deploy Artificial Intelligence solutions using Agent Engine, Cloud Run, Google Kubernetes Engine, Cloud Functions, and other Google Cloud Platform services.
• Design and implement Retrieval-Augmented Generation solutions utilizing BigQuery, Vertex Artificial Intelligence Vector Search, Cloud Storage, Document Artificial Intelligence, and related data services.
• Develop and maintain application programming interfaces, microservices, agent tools, Model Context Protocol integrations, and event-driven workflows.
• Build data pipelines that ingest, transform, segment, embed, index, and retrieve structured and unstructured data.
• Implement advanced agent capabilities including session management, memory handling, tool calling, human approval workflows, and agent orchestration.
• Apply automated testing, continuous integration and continuous deployment, logging, monitoring, tracing, evaluation frameworks, and cost optimization practices.
• Implement cloud security controls using Identity and Access Management, service accounts, Workload Identity Federation, Secret Manager, and private networking.
• Troubleshoot and resolve issues involving agents, models, integrations, data pipelines, cloud infrastructure, application programming interfaces, and security configurations.
• Create architecture diagrams, technical designs, deployment guides, operational documentation, and application programming interface specifications.
• Lead technical workstreams, conduct solution reviews, perform code reviews, and provide technical guidance to development teams.
• Participate in discovery workshops, architecture planning, testing activities, deployments, and knowledge transfer initiatives.
• Evaluate and recommend architecture patterns based on performance, scalability, security, reliability, governance, and cost considerations.
• Deliver scalable, secure, and maintainable Artificial Intelligence solutions that support enterprise business objectives.

Who are we looking for?

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, Data Science, or a related field.
• Relevant Google Cloud Platform certifications are highly preferred.
• Significant experience developing and deploying applications on Google Cloud Platform.
• Advanced professional experience in Python development.
• Hands-on experience building and deploying Generative Artificial Intelligence applications and agentic solutions in production environments.
• Experience leading technical workstreams from requirements discovery through production deployment.
• Experience delivering client-facing cloud consulting, software development, or Artificial Intelligence implementation projects.
• Strong experience with Google Agent Development Kit, including agents, workflows, sessions, state management, tools, and multi-agent architectures.
• Experience integrating Gemini models using Vertex Artificial Intelligence or Google Generative Artificial Intelligence Software Development Kits.
• Experience deploying applications using Agent Engine, Cloud Run, Google Kubernetes Engine, Cloud Functions, or similar cloud-native runtimes.
• Experience designing and implementing Retrieval-Augmented Generation solutions.
• Experience working with BigQuery and Google Cloud Platform data services.
• Experience developing application programming interfaces using frameworks such as FastAPI.
• Strong knowledge of Representational State Transfer Application Programming Interfaces, asynchronous processing, event-driven architecture, and microservices.
• Understanding of Model Context Protocol and its application in connecting intelligent agents to enterprise systems and tools.
• Experience working with Structured Query Language, document stores, object storage, embeddings, semantic search technologies, and vector databases.
• Experience using Git, automated testing frameworks, Docker, continuous integration and continuous deployment pipelines, and infrastructure as code methodologies.
• Strong knowledge of Google Cloud Identity and Access Management, service accounts, Secret Manager, networking, logging, monitoring, and cloud security best practices.
• Experience deploying Google Agent Development Kit agents using Agent Engine, Cloud Run, or Google Kubernetes Engine.
• Experience implementing Model Context Protocol servers, enterprise integrations, and custom agent tools.
• Experience with Vertex Artificial Intelligence Vector Search, BigQuery Vector Search, Document Artificial Intelligence, Apigee, Pub/Sub, Eventarc, and Workflows.
• Experience using Terraform, Cloud Build, Artifact Registry, and automated Google Cloud Platform deployment pipelines.
• Experience implementing Artificial Intelligence evaluation frameworks, observability solutions, guardrails, testing methodologies, and cost monitoring strategies.
• Ability to evaluate trade-offs involving model quality, latency, scalability, security, reliability, maintainability, and operational cost.
• Strong consulting and problem-solving skills with the ability to transform business requirements into scalable technical solutions.
• Excellent verbal and written communication skills with the ability to explain complex Artificial Intelligence and cloud concepts to technical and non-technical stakeholders.
• Strong documentation, technical leadership, and stakeholder management capabilities.
• Ability to work independently while managing multiple priorities within dynamic project environments.
• Strong attention to detail with the ability to identify, communicate, and mitigate technical risks, dependencies, and blockers.
• Willingness to mentor developers and contribute to delivery standards, best practices, and technical excellence initiatives.