Forward Deployed Engineer (FDE)

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With nearly 245,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world. Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.

Website

http://www.wipro.com

Technical & Soft Skills             

       Prompt engineering and context engineering  

       Python, Java, JavaScript, or modern cloud development stack             

       DevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.  

       GenAI platforms and LLM integration, MLOps / LLMOps           

       Semantic modeling and knowledge graph concepts   

       Coaching and mentoring experience   

       Collaboration across cross-functional teams 

       Strong verbal and written communication        

Forward Deployed Engineer (FDE)     

Qualifications              

       Bachelor's degree in Computer Science, Engineering, or related field     

       8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience

       Hands-on experience delivering cloud-native and enterprise applications     

       Experience with AI-assisted development tools and modern software engineering practices             

       Strong coding and solution architecture background  

       Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform  

       Preferred: AWS/Azure/GCP certifications         

       Preferred: Experience in AI platform engineering and MLOps/LLMOps            

       Preferred: Financial Services domain experience         

Technical & Soft Skills             

       Prompt engineering and context engineering  

       Python, Java, JavaScript, or modern cloud development stack             

       DevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.  

       GenAI platforms and LLM integration, MLOps / LLMOps           

       Semantic modeling and knowledge graph concepts   

       Coaching and mentoring experience   

       Collaboration across cross-functional teams 

Strong verbal and written communication