Junior Forward Deployed Engineer

Junior Forward Deployed Engineer (FDE) The Junior Forward Deployed Engineer (FDE) at Wipro is an early career, customer facing engineering role focused on deploying, configuring, and supporting applied AI and digital platform solutions within enterprise client environments. Junior FDEs work closely with senior FDEs, solution architects, and delivery teams to help operationalize AI solutions in real world settings. The role blends hands on engineering, technical problem solving, and direct customer interaction, making it ideal for engineers who want exposure to consulting, product delivery, and applied AI systems. Unlike traditional software engineering roles that focus on building centralized platforms, Junior FDEs focus on making solutions work for specific clients, within their unique constraints, data, and workflows. Key Responsibilities Deployment & Implementation Support: Assist in deploying and configuring AI and platform solutions within customer environments Support integration of solutions with client systems, data sources, and workflows Perform testing, validation, and environment readiness activities Troubleshoot implementation and integration issues under guidance Applied AI Enablement: Support integration of LLM‑based applications and AI agents Assist with prompt configuration, RAG pipelines, embeddings, and vector search Help monitor system performance, data quality, and basic operational metrics Customer Collaboration: Work with senior FDEs during customer discovery, implementation sessions, and workshops Communicate technical findings and progress clearly to internal teams Assist in creating documentation, runbooks, and training materials for customers Product & Engineering Feedback: Capture implementation learnings and recurring challenges from customer environments Share feedback with internal product and engineering teams to improve future deployments Contribute reusable scripts, templates, or configuration assets Required Skills Deployment & Integration Programming experience in Python, JavaScript, Java, or similar Experience working with APIs and basic system integrations Familiarity with databases (SQL or NoSQL) Exposure to cloud platforms (AWS, Azure, or GCP) Applied AI (Foundational) Basic understanding of AI / ML concepts Exposure to LLM‑based applications or AI tools through coursework, projects, or internships Willingness to learn applied AI implementation patterns Operational & Professional Skills Debugging and problem‑solving in real‑world environments Version control basics (Git) Clear written and verbal communication Ability to work in structured but evolving delivery environments Soft Skills Curiosity and willingness to learn in complex environments Structured problem‑solving mindset Professional communication with customers and internal teams Ability to work collaboratively with guidance Excellent communication, analytical, and problem-solving skills Demonstrated teamwork and leadership abilities Qualifications Recent graduate of a Bachelor’s or Master's degree program in Computer Science, Engineering, or a related technical field Minimum of a 3.0 on a 4.0 GPA scale 0–2 years of experience in software engineering, technical consulting, or implementation roles An internship or relevant experience will be considered a plus Strong interest in customer‑facing engineering and applied technology delivery Career Path Junior Forward Deployed Engineer > Forward Deployed Engineer > Senior FDE / Solutions Architect > AI Architect / Technical Lead / Product Roles