6 days ago
Responsibilities
- Design, develop, and deploy production-ready AI/ML solutions using traditional machine learning, LLMs, agentic AI, RAG, and workflow automation frameworks.
- Build scalable backend services and APIs using Python, MongoDB, Kafka, and event-driven architectures.
- Develop intelligent agents with tool calling, prompt engineering, context management, guardrails, and evaluation frameworks.
- Orchestrate business workflows and integrate AI solutions with enterprise platforms, APIs, and event streams.
- Analyze operational and historical data with SQL, Spark, and Databricks to investigate root causes and drive resolution outcomes.
- Partner directly with operations teams and subject-matter experts to understand problems, prototype solutions, deploy them, and measure impact.
- Convert successful resolution patterns into reusable AI-powered platform capabilities and services.
Requirements
- 8–10 years of experience in machine learning, software engineering, or data engineering.
- 3–5 years of hands-on experience with agentic AI and generative AI solutions.
- Strong experience deploying and supporting production AI/ML services at enterprise scale.
- Proficiency with Python, REST APIs, microservices, MongoDB, Kafka, and distributed systems.
- Hands-on experience with LLMs, AI agents, RAG architectures, prompt engineering, and AI evaluation frameworks.
- SQL and data engineering experience, including Spark and Databricks.
- Strong problem-solving, stakeholder management, and customer-facing solution engineering capabilities.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and 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; benefits vary by location and eligibility.
Tech Stack
Categories
Forward Deployed
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com