Join Google Cloud as a Cloud AI Engineer and empower businesses on their cloud transformation journey. This role involves guiding strategic customers through critical projects, leveraging Google's advanced infrastructure to foster business evolution. You'll be part of an innovative team shaping the future of businesses, connecting them with customers, employees, and partners through technology.

As a Cloud AI Consultant, you will directly engage with Google's most important clients on high-impact projects, assisting them in transforming their operations with AI/ML technologies. Your expertise will be crucial in developing, deploying, and managing custom AI solutions in production environments using Google Cloud.

You will provide expert technical project management, consulting, and technical guidance to client engagements. Collaborating with client executives and technical leaders, you will ensure seamless deployment of solutions on Google Cloud Platform. Furthermore, you'll work closely with key Google partners to define engagement scopes, manage programs, deliver consulting services, and offer deep technical insights and best practices.

Success in this role requires a strong background in developing AI solutions and applying industry-standard tools, techniques, and methodologies. You should be adept at navigating ambiguity, possess deep technical expertise, and be committed to achieving customer success. Excellent client-facing communication and project management skills are essential.

Lead the global delivery and implementation of Gemini Enterprise solutions, employing Agent Development Kits (ADKs) to resolve highly intricate, enterprise-scale technical challenges.

Serve as the primary technical advisor to C-suite executives within Google's most strategic global accounts, actively shaping their AI strategy and accelerating the adoption of Gemini Enterprise.

Influence the product roadmap by translating complex architectural issues into clear, actionable requirements for Google's Engineering teams.

Provide leading practice recommendations and deliver high-impact technical presentations to executive boards and key stakeholders, securing large-scale technical approvals.

Act as a thought leader and mentor across the Google Cloud organization, enhancing the technical capabilities of engineers and defining best practices for agentic AI architectures.

A Bachelor's degree in Computer Science, a related field, or equivalent practical experience is required.

Minimum of 8 years in software engineering, cloud architecture, or technical consulting, including 2 years focused on deploying production generative AI applications.

Demonstrated experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks such as LangChain, LlamaIndex, or AutoGen.

Proficiency in Python and a solid understanding of cloud computing principles, including serverless, virtualization, and secure networking.

Experience designing modern application architectures, encompassing APIs and microservices, and integrating AI models into enterprise software solutions.

Ability to communicate fluently in English to effectively manage client relationships within the region.

Preferred qualifications include a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Google Cloud Certifications like Professional Cloud Architect or Professional Machine Learning Engineer are advantageous.

Advanced experience in implementing scalable RAG architectures connected to external productivity tools and enterprise databases. Expertise in leveraging LLMs for enterprise-scale multimodal solutions across text, image, video, and audio is highly valued.

Experience deploying enterprise GenAI platforms, such as Gemini Enterprise, coupled with a deep understanding of AI security, governance, and compliance standards, is a significant plus.

A proven track record of leading technical project deployments and engineering teams through large-scale cloud transformations is also preferred.