Zensar Technologies—AI Forward Deployed Engineer (Offshore)

Job description

Description: The AI Forward Deployed Engineer works at the intersection of AI, engineering, and business, partnering closely with stakeholders to identify use cases, build prototypes, and deliver production-grade AI solutions. This role requires hands-on experience with LLMs, cloud platforms, APIs, and enterprise system integration, along with strong problem-solving and communication skills. Requirements: - Bachelor’s degree in Computer Science / Engineering / Data Science or equivalent - Strong programming skills (Python, JavaScript/TypeScript, Java) - Experience with API-based development, cloud platforms (AWS/Azure/GCP), and databases - Hands-on experience with AI/ML technologies (LLMs, RAG, embeddings, vector DBs) - Strong problem-solving, debugging, and system design skills - Ability to work with business stakeholders and translate requirements - Comfortable in fast-paced, ambiguous, customer-facing environments Primary Skills - Python / JavaScript / TypeScript / Java - Large Language Models (LLMs) - Retrieval-Augmented Generation (RAG) - Prompt Engineering & Agentic Workflows - APIs & Microservices Development - Cloud Platforms (Azure / AWS / GCP) - System Design & Solution Architecture Secondary Skills - Vector Databases (Pinecone, FAISS, etc.) - MLOps / CI-CD pipelines - Frontend frameworks (React, Angular) - Security & Compliance in AI systems - Monitoring & Observability tools - Domain knowledge (Retail, Healthcare, Finance, etc.) Responsibilities: - Identify and define AI use cases with business stakeholders - Design and develop AI/ML and GenAI-based solutions (LLMs, RAG, agents) - Build and deploy production-ready applications, copilots, and automation tools - Integrate solutions with enterprise systems, APIs, and databases - Collaborate with cross-functional teams for scalability, security, and reliability - Rapidly iterate prototypes based on feedback and performance metrics - Monitor and optimize solutions for accuracy, latency, and cost - Create technical documentation and deployment guides - Advise stakeholders on AI capabilities, risks, and best practices