Capgemini - Forward Deploy Engineer - Artificial Intelligence/Machine Learning

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 :

- 12 - 15 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.

Compensation Details :

- 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