Google Cloud Platform AI Engineer

Key Responsibilities
Design and deploy scalable AI and automation solutions on Google Cloud Platform (Google Cloud Platform).
Develop and implement AI-powered copilots, virtual assistants, and intelligent workflow solutions.
Lead provider workflow modernization initiatives to improve operational efficiency and user experience.
Support Policy Hub modernization through AI-enabled data processing and automation capabilities.
Build and maintain robust AI & data engineering pipelines for structured and unstructured data.
Integrate AI services, APIs, and cloud-native tools into enterprise applications.
Collaborate with cross-functional teams including business stakeholders, architects, developers, and data teams.
Optimize AI models and cloud infrastructure for performance, scalability, and cost efficiency.
Ensure compliance with security, governance, and enterprise cloud standards.
Provide technical guidance and support for AI transformation initiatives.
Required Skills
Strong experience with Google Cloud Platform (Google Cloud Platform) services.
Expertise in AI / Automation technologies and intelligent workflow solutions.
Hands-on experience in AI & Data Engineering.
Experience with Provider Workflow Modernization projects.
Knowledge of Policy Hub Modernization initiatives and enterprise transformation programs.
Experience building or integrating AI tools / Copilot solutions.
Proficiency in Python, SQL, and cloud-based development frameworks.
Experience with data pipelines, APIs, and cloud integrations.
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
Google Cloud Platform certifications (Professional Cloud Engineer, Professional Machine Learning Engineer, etc.).
Experience with Generative AI, LLMs, Vertex AI, or conversational AI platforms.
Knowledge of DevOps, CI/CD, and infrastructure automation.
Experience working in healthcare, insurance, or enterprise digital transformation environments.