Senior AI Engineer SADA
Role details
Job location
Tech stack
Job description
We're seeking a highly skilled and visionary Senior AI Engineer to pioneer and lead our AI initiatives, establishing a robust AI foundation across our organization. As the go-to expert, you'll be critical in architecting and implementing advanced AI-driven solutions, leveraging platforms like CCAIP, Vertex AI, and Generative AI to influence product roadmaps and drive innovation. This role focuses significantly on designing, implementing, and deploying sophisticated AI-powered solutions for Contact Centers (CCAI) for our clients, alongside building robust data solutions. You'll also provide essential technical leadership and mentorship to ensure the successful delivery
of projects.
As a Senior AI Engineer you will:
- Solution Design & Architecture: Lead the technical design and architecture of complex AI/ML solutions, including intricate conversational AI flows. This involves deeply leveraging the Google Cloud Platform (GCP) to architect solutions within Dialogflow CX, integrating with other GCP services, and designing robust data solutions using BigQuery and other relevant tools. Provide deep technical guidance specific to the CCAI ecosystem and ensure architectural alignment with Google Cloud best practices.
- Hands-on Development & Deployment: Drive hands-on development and deployment of complex AI components, including advanced Conversational AI components on Google CCAI. Expertly utilize Dialogflow CX, Vertex AI (including generative AI capabilities), and GCP compute services for custom integrations.
- Generative AI & LLMs: Implement and integrate generative AI models and Large
Language Models (LLMs), including custom development and deployment, for
enhanced conversational experiences and broader AI applications. Explore multimodal use cases involving audio, video, or images.
Requirements
- 5+ years of experience in IT, with proven experience contributing to the design,
building, and deployment of enterprise-grade AI/ML solutions, including a significant focus on contact center and conversational AI solutions.
- Strong understanding of AI/ML principles, natural language processing (NLP), machine learning algorithms, and deep learning architectures.
- Expert-level hands-on experience with Google Cloud Platform (GCP)