Hiring: Forward Deployed Engineer Company: Capgemini Location: New York, United States Job Posted Time: 2026-09-03 10:57:07 Employment Type: Full-time Target Skills & Keywords : Databricks, Event-Driven, Java, Kafka, LLM, Machine Learning, Microservices, MongoDB, Python, RAG, REST, SQL, Spark, Stakeholder Management About the job Experience: •8 to 10 years of experience in Software Engineering, Machine Learning, Data Engineering, or related domains. •3 to 5 years of hands-on experience designing and deploying Agentic AI and Generative AI solutions. •10 years of experience in Software Engineering, Machine Learning, Data Engineering, or related domains. •5 years of hands-on experience designing and deploying Agentic AI and Generative AI solutions. Required Skills: •As a Forward Deployed Engineer, you will rapidly prototype innovative solutions, integrate AI capabilities into enterprise ecosystems, and transform successful outcomes into reusable platform services that drive business value at scale. •Design, develop, and deploy production-grade AI/ML solutions leveraging Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks. •Build scalable backend services, APIs, and microservices using Java/Python, MongoDB, Kafka, and event-driven architectures. •Develop intelligent AI agents using tool calling, MCP, prompt engineering, context management, guardrails, and evaluation frameworks. •Integrate AI solutions with enterprise applications, business workflows, APIs, and data platforms to drive operational outcomes. •Analyze operational and historical data using SQL, Spark, and Databricks to identify root causes and implement data-driven solutions. •Partner cross-functionally with Operations teams and business stakeholders to rapidly prototype, deploy, measure impact, and scale AI-powered solutions. Qualifications: •Strong proficiency in Java and/or Python with experience in REST APIs, microservices, and distributed systems. •Applied hands-on capability in LLMs, AI Agents, RAG architectures, prompt engineering, and AI evaluation frameworks. •Strong SQL and data engineering expertise, including Spark and Databricks. •Proven experience deploying, monitoring, and supporting production AI/ML solutions at enterprise scale. •Excellent problem-solving, stakeholder management, communication, and customer-facing solution engineering skills. •The base compensation range for this role in the posted location is: $100,000.00 - $130,000.00 •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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!