Forward Deployed Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description Key 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 o [... source excerpt omitted ...] 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 post [... source excerpt omitted ...] e 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 a