Conversational Developer Lead /CCAI Lead /CCAI Architect

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of 16 billion.

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Position: Conversational Developer Lead /CCAI Lead /CCAI Architect

Location: Chicago, IL

Duration: Fulltime

CAPGEMINI is seeking a highly skilled Google conversational AI Developer / Architect with expertise in Node.js, Google Cloud Architecture, and Generative AI applications. In this role, the candidate will design and develop intelligent conversational experiences using Google's customer engagement suite (formerly known as CCAI) and leverage Generative AI technologies to enhance customer engagement. The ideal candidate should also have a solid understanding of data and data science, enabling the integration of advanced AI models and data-driven insights into conversational systems.

PRIMARY RESPONSIBILITIES AND ESSENTIAL FUNCTIONS:

• Develop, deploy, and maintain conversational AI solutions using the Google Customer Engagement Suite and Generative AI models on Google Cloud.
• Implement generative AI use cases, including text generation, virtual agents, and content personalization, to improve customer interactions.
• Design scalable cloud architectures for chatbots, virtual agents, and AI-driven voice solutions using Node.js and Google Cloud Platform (Google Cloud Platform) services.
• Integrate conversational AI solutions with backend systems, leveraging APIs, databases, and third-party services.
• Work closely with data scientists to understand, manipulate, and integrate data sets into conversational AI workflows, optimizing the models for customer experiences.
• Use Natural Language Processing (NLP) and Generative AI tools to enhance and fine-tune conversational flows.
• Architect and manage cloud infrastructure on Google Cloud Platform for performance, scalability, and security.
• Ensure continuous improvement of AI models, handling training, testing, deployment, and monitoring using best practices in machine learning and data management.
• Enable/capture application log integrating with monitoring tools and setup synthetics and application monitoring/alert using monitoring tools
• Implement cloud-based solutions and DevOps practices for continuous integration and delivery (CI/CD), ensuring efficient AI model deployment and lifecycle management.
• Collaborate with cross-functional teams to understand requirements, set technical direction, and ensure AI-driven solutions meet business needs.

Qualifications:

• Bachelor s degree in a related discipline and 4 years experience in a related field. The right candidate could also have a different combination, such as a master s degree and 2 years experience; a Ph.D. and up to 1 year of experience; or 16 years experience in a related field
• Strong experience with Google CCAI (Dialogflow, Contact Center AI, Vertex) in developing conversational agents and implementing AI-driven customer service solutions.
• Experience implementing Generative AI applications (e.g., GPT-based models) and integrating them into conversational systems.
• Strong understanding of data science principles and the ability to work with data scientists on AI model integration and optimization.
• Hands-on experience with NLP, and Conversational AI model development.
• 3+ years of experience in Node.js development, including building APIs, Integrating APIs and backend services.
• 2+ years of experience working with Google Cloud Platform (Google Cloud Platform) services such as Cloud Functions, BigQuery, Cloud Storage, and Pub/Sub.
• Experience designing and deploying cloud architectures on Google Cloud Platform, adhering to best practices for scalability, security, and performance.
• Proficiency in developing and consuming RESTful APIs for integrating with various enterprise systems.
• Familiarity with cloud security practices, including Identity and Access Management (IAM) and compliance standards.
• Strong problem-solving skills and the ability to collaborate effectively in an agile, fast-paced environment.
• Prioritize, coordinate, and deliver work based on strategic objectives laid out by management.
• Foster a culture of continuous learning and experimentation within the team.
• Excellent communication, both written and verbal skills to work effectively with teams throughout organization

Preferred Skills:

• Google Cloud certifications such as Professional Cloud Architect or Professional Cloud Developer.
• Experience with additional AI/ML tools and platforms (e.g., Vertex AI, TensorFlow).
• Familiarity with DevOps practices (CI/CD, Docker, Kubernetes) and cloud infrastructure automation.
• Experience with contact center platforms (e.g., Twilio, Genesys, Five9, Avaya) and their integration with AI-driven solutions.
• Knowledge of data pipelines and frameworks for data preprocessing, model training, and deployment.
• Strong understanding of Contact center ecosystem and business processes.
• Experience with other cloud platforms (AWS, Google Anthos) is a plus.

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Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.