Job DescriptionKey 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 to perform root-cause investigations and drive resolution outcomes.
• Partner directly with Operations teams and SMEs to understand business problems, rapidly prototype solutions, deploy into production, and measure impact.
• Convert successful resolution patterns into reusable AI-powered platform capabilities and services.
Qualifications• 8-10 years of experience in Machine Learning, Software Engineering, or Data Engineering, with 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.
The base compensation range for this role in the posted location is: 120,840 - 145,300
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- 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
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
