1 day ago
Base Salary
$70k - $140k/yr
Responsibilities
- Design, develop, and deploy conversational AI solutions using Dialogflow CX, Gemini-powered conversational agents, CCAI, and Customer Engagement Suite.
- Architect and build AI-powered virtual agents, voice bots, digital assistants, agent assist, and self-service customer experience solutions.
- Develop scalable Python backend services and integrations with enterprise platforms, CRM, contact center, ERP, knowledge management, and custom APIs.
- Implement and optimize Generative AI, RAG, vector search, agentic AI, and knowledge grounding capabilities.
- Build and deploy cloud-native applications using Vertex AI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, GKE, and API Gateway.
- Lead customer workshops, technical discovery sessions, architecture reviews, and implementation planning.
- Troubleshoot and optimize conversational design, NLU performance, prompt engineering, conversation flows, and production deployments.
- Collaborate with customer engineering teams to establish best practices, accelerate adoption, and deliver measurable business outcomes.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of software engineering experience with strong expertise in Python.
- Hands-on experience implementing Google Contact Center AI, Dialogflow CX, Customer Engagement Suite, and Vertex AI.
- Experience designing and delivering enterprise conversational AI and Generative AI solutions.
- Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations.
- Experience working directly with enterprise customers and leading technical engagements.
- Experience with Gemini, Vertex AI Agent Builder, RAG architectures, vector databases, and multi-agent systems is preferred.
- Experience modernizing enterprise contact centers and customer service operations is preferred.
- Google Cloud Professional certifications are preferred.
- 5–10+ years of experience in software engineering, AI engineering, conversational AI, contact center technologies, or cloud solution delivery, with proven success delivering customer-facing AI solutions on Google Cloud.
Benefits
- Base compensation is listed separately in the posting, with additional compensation such as variable incentives, bonuses, or commissions potentially available.
- Paid time off, including vacation, company holidays, personal days, and sick leave, based on employee grade and policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- Regular, full-time employees receive a comprehensive benefits package.
Tech Stack
Categories
Forward Deployed
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.