AES - DE - Generative AI Application Developers

Required Skills

• Azure Machine Learning (Azure ML)
• Python
• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• Vector Databases / Embeddings
• LangChain / LangGraph
• REST API Development
• Azure DevOps, Git, CI/CD

At Zensar, we're "experience-led everything". We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we're a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

AI/ML requirement with 8+ yrs experience

Experience: 7+ Years
Role Summary
Hands-on AI/ML engineer responsible for implementing approved business AI initiatives across the application portfolio using Azure AI technologies. The role will work closely with business stakeholders, regional leads, and application teams to convert AI use cases into production-ready solutions.
Key Responsibilities
Design and implement business-focused AI solutions using Azure OpenAI and Azure AI Services.
Build AI assistants, copilots, intelligent search, and workflow automation solutions.
Develop and deploy RAG (Retrieval Augmented Generation) solutions leveraging enterprise data sources.
Integrate AI capabilities into existing enterprise applications and business processes.
Develop reusable AI accelerators that can be leveraged across applications and regions.
Support AI advisory initiatives, including reporting, intelligence, and automation use cases.
Drive AI use cases from concept, prototype, pilot, and production deployment.