Google Ai Engineer Jobs (NOW HIRING)

Job Summary:
Deloitte is seeking a Google AI Lead Architect to join their AI & Engineering team, focusing on transforming technology platforms and driving innovation for clients. The role involves architecting and delivering enterprise AI platforms on Google Cloud, optimizing for scalability, reliability, and security.
Responsibilities:
• Architect and Design: Lead the design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
• LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis on production-level performance and reliability.
• Enterprise Architecture: Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy, governance, and standards.
• Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
• Security & Governance: Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks.
• Design Patterns: Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and maintainable software systems.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering or a related technical field.
• 8+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
• 5+ years hands-on with Google Cloud, including 2+ end-to-end enterprise implementations in production.
• 4+ years designing and implementing Google Cloud networks, security controls, and landing zones using Terraform.
• 3+ years building and operating containerized workloads on GKE (autoscaling, ingress, monitoring/observability).
• 3+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins.
• 3+ years executing migration or modernization programs to Google Cloud (rehost, replatform, refactor).
• 2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ years' production deployment (e.g. RAG with Vertex AI Search/Vector Search, prompt design, safety policies, observability).
• Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
• Experience implementing multiple AI solutions in a professional, real-world environment.
• Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).
• Familiarity with various hyperscaler tools and services.
• Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
• Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
Preferred:
• Google Professional Machine Learning Engineer certification or the equivalent ML certification.
• Master's degree in technology-related discipline.
• 2+ years' leading high performance, results driven engineering teams delivering AI platforms or applications.
• 1+ year implementing LLMOps/MLOps using Vertex AI Pipelines and Cloud Build (or similar)
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 1900, the company is headquartered in Marunouchi, JPN, with a team of 10001+ employees. The company is currently Late Stage.