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About the Role

Empower your career, be supported by a global community, and reimagine what's possible with Capgemini. Help leading organizations unlock technology's value to build a more sustainable and inclusive world.

Responsibilities

• Design, develop, and deploy production-ready AI/ML solutions using Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks.
• Build scalable backend services and APIs using Python, microservices, MongoDB, Kafka, and event-driven architectures.
• Develop intelligent agents utilizing tool calling, prompt engineering, context management, guardrails, and evaluation frameworks.
• Orchestrate business workflows and integrate AI solutions with enterprise platforms, APIs, and event streams.
• Conduct operational and historical data analysis using SQL, Spark, and Databricks for root-cause investigations and resolution.
• Partner with Operations teams and SMEs to understand business problems, prototype solutions, deploy, 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 in Agentic AI and Generative AI solutions.
• Strong experience deploying and supporting production AI/ML services at enterprise scale.
• Proficiency in Python, REST APIs, microservices, MongoDB, Kafka, and distributed systems.
• Hands-on experience with LLMs, AI agents, RAG architectures, prompt engineering, and AI evaluation frameworks.
• Integration knowledge of SQL and data engineering skills, including Spark and Databricks.
• Excellent problem-solving, stakeholder management, and customer-facing solution engineering capabilities.

Skills

• Traditional ML
• LLMs
• Agentic AI
• RAG
• Workflow automation
• Python
• Microservices
• MongoDB
• Kafka
• Event-driven architectures
• Tool calling
• Prompt engineering
• Context management
• Guardrails
• AI evaluation frameworks
• SQL
• Spark
• Databricks
• REST APIs
• Distributed systems

Experience Level

• 8-10 years of experience
• 3-5 years of hands-on experience

Salary/Compensations

• 120,840 - 145,300

Benefits

• Paid time off based on employee grade (A-F): Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

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.
• A responsible and diverse group of 340,000 team members in more than 50 countries.
• Over 55-year heritage, trusted by clients to unlock the value of technology.
• Delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering.
• Market leading capabilities in AI, generative AI, cloud and data, combined with 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.