About this role
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 & Generative AI Development
• Design, build, and deploy AI/GenAI-powered enterprise solutions. • Develop AI agents, agentic workflows, and automation pipelines. • Implement Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks. • Create guardrails, validation mechanisms, and human-in-the-loop review processes to ensure responsible AI adoption. • Optimize AI solution performance, accuracy, and reliability. Application Modernization
• Support legacy modernization and transformation programs using AI-driven approaches. • Leverage AI for: • Code comprehension • Reverse engineering • Business rule extraction • Dependency mapping • Documentation generation • Test generation and automation • Code migration and modernization acceleration
• Work with legacy technologies such as HP NonStop, COBOL, C++, batch processing, or similar platforms. Software Engineering & Cloud Development
• Develop and maintain enterprise applications using .NET/C#, ASP.NET, and Web APIs. • Build AI-enhanced applications and services integrated with existing enterprise systems. • Develop automation solutions using Python and AI frameworks. • Work with Azure AI Services, Azure OpenAI, cloud-native services, and modern engineering platforms. • Collaborate on API integrations, microservices, CI/CD pipelines, and DevOps initiatives.
AI & Generative AI Development
• Design, build, and deploy AI/GenAI-powered enterprise solutions. • Develop AI agents, agentic workflows, and automation pipelines. • Implement Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks. • Create guardrails, validation mechanisms, and human-in-the-loop review processes to ensure responsible AI adoption. • Optimize AI solution performance, accuracy, and reliability. Application Modernization
• Support legacy modernization and transformation programs using AI-driven approaches. • Leverage AI for: • Code comprehension • Reverse engineering • Business rule extraction • Dependency mapping • Documentation generation • Test generation and automation • Code migration and modernization acceleration
• Work with legacy technologies such as HP NonStop, COBOL, C++, batch processing, or similar platforms. Software Engineering & Cloud Development
• Develop and maintain enterprise applications using .NET/C#, ASP.NET, and Web APIs. • Build AI-enhanced applications and services integrated with existing enterprise systems. • Develop automation solutions using Python and AI frameworks. • Work with Azure AI Services, Azure OpenAI, cloud-native services, and modern engineering platforms. • Collaborate on API integrations, microservices, CI/CD pipelines, and DevOps initiatives.
AI & Generative AI Development
• Design, build, and deploy AI/GenAI-powered enterprise solutions. • Develop AI agents, agentic workflows, and automation pipelines. • Implement Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks. • Create guardrails, validation mechanisms, and human-in-the-loop review processes to ensure responsible AI adoption. • Optimize AI solution performance, accuracy, and reliability. Application Modernization
• Support legacy modernization and transformation programs using AI-driven approaches. • Leverage AI for: • Code comprehension • Reverse engineering • Business rule extraction • Dependency mapping • Documentation generation • Test generation and automation • Code migration and modernization acceleration
• Work with legacy technologies such as HP NonStop, COBOL, C++, batch processing, or similar platforms. Software Engineering & Cloud Development
• Develop and maintain enterprise applications using .NET/C#, ASP.NET, and Web APIs. • Build AI-enhanced applications and services integrated with existing enterprise systems. • Develop automation solutions using Python and AI frameworks. • Work with Azure AI Services, Azure OpenAI, cloud-native services, and modern engineering platforms. • Collaborate on API integrations, microservices, CI/CD pipelines, and DevOps initiatives.