Posted 25 July, 2026
AI Forward Deployed Engineer (Offshore)
Zensar Technologies
Pune,Maharashtra,IN,411014
Full Time
Reference: 218_649632_146981_2
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.
- 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.)
- 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
