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About the Role
Collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. Contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.
Responsibilities
- Develop and integrate Python-based services, APIs and AI-enabled applications.
- Build agent workflows using prompts, tools, APIs, enterprise knowledge and structured data.
- Deploy and operate applications on Google Cloud using secure, observable and repeatable engineering practices.
- Configure and extend conversational and customer-experience use cases, including virtual agents, agent assistance and workflow automation.
- Participate in discovery sessions, rapidly prototype solutions and translate business needs into working technical outcomes.
- Test, troubleshoot and optimize agent behavior, integrations, latency, reliability and user experience.
- Create technical documentation, deployment runbooks and clear demonstrations for delivery teams and clients.
- Apply responsible AI, security, access-control and data-handling practices throughout the solution lifecycle.
Requirements
- Strong Python programming skills.
- Good knowledge of REST APIs, JSON, webhooks and system integration.
- Hands-on cloud application development, deployment, logging and monitoring experience in GCP cloud.
- Working knowledge of Git, CI/CD and Docker.
- Good awareness of Generative AI, LLMs, prompt engineering, RAG and AI agents.
- Basic SQL and data-handling skills.
- Good communication, troubleshooting, and customer-service process understanding.
- Strong analytical thinking, debugging, communication and learning agility.
- Willing to learn and upskill on Agentic AI or Google Gemini Enterprise.
Skills
- Python
- REST APIs
- JSON
- Webhooks
- System Integration
- GCP Cloud
- Git
- CI/CD
- Docker
- Generative AI
- LLMs
- Prompt Engineering
- RAG
- AI Agents
- SQL
- Data Handling
- Communication
- Troubleshooting
- Customer Service Process Understanding
- Analytical Thinking
- Debugging
- Learning Agility
- Agentic AI
- Google Gemini Enterprise
- Contact-center platforms
- Conversational platforms
- Genesys Cloud
- NICE CXone
- Amazon Connect
- Dialogflow
- Customer journey design
- Conversation flow design
Location
- Nashville
- Atlanta
Work Type
- Hybrid
Salary/Compensations
- $68,911 to $161,544
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.