8 days ago
Base Salary
$77k - $151k/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 using Google Cloud services.
- Implement and optimize Generative AI, Retrieval Augmented Generation, vector search, agentic AI, and knowledge grounding capabilities.
- Integrate AI solutions with CRM, contact center, ERP, knowledge management, and custom API platforms.
- 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.
- At least 5 years of software engineering, AI engineering, conversational AI, contact center technology, or cloud solution delivery experience.
- Strong Python expertise and experience using Python as a primary development language.
- 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.
- Preferred experience with Gemini, Vertex AI Agent Builder, RAG architectures, vector databases, multi-agent systems, and enterprise contact center modernization.
- Google Cloud professional certifications are preferred.
Benefits
- Base-eligible regular full-time employees may receive paid time off, including 12–25 vacation days depending on grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada, may be available based on policy and eligibility.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada may be available.
- Life and disability insurance and employee assistance programs may be available.
- Benefits are determined by local policy and eligibility; the role is located in New York, NY.
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.