Design and lead GenAI and agent-based AI solutions for large-scale modernization programs. Define prompt engineering, orchestration, validation, guardrails, and human-in-the-loop workflows. Apply AI to legacy systems (COBOL, HP NonStop, C++) for code comprehension, dependency mapping, documentation, and test generation. Collaborate with solution and platform architects, work in Agile sprint-based delivery, and guide distributed offshore/onshore teams.
Core AI Skills
Responsibilities- Strong experience in AI / GenAI / Agentic AI solution design.
- Experience designing AI-led engineering workflows.
- Hands-on understanding of prompt engineering, AI orchestration, validation workflows, and output governance.
- Ability to define AI agents, workflows, guardrails, and review mechanisms.
- Understanding of hallucination mitigation and human-in-the-loop validation.
- Experience in large-scale application modernization or legacy transformation.
- Good understanding of legacy platforms such as HP NonStop, COBOL, C++, batch processing, or mainframe-style systems.
- Ability to apply AI for:
- code comprehension
- reverse engineering
- rule extraction
- dependency mapping
- documentation
- test generation
- Experience with Azure-based modern platforms.
- Good understanding of .NET / C# / API-based architecture.
- Familiarity with CI/CD, DevOps, cloud security, and engineering automation.
- Ability to work with Solution Architects and Platform Engineers to align AI outputs with target architecture.
- Strong Agile delivery experience.
- Experience working in sprint-based and phased modernization programs.
- Ability to guide distributed teams across offshore and onshore models.
- Strong stakeholder communication and technical leadership skills.
Core AI Skills
Qualifications- Strong experience in AI / GenAI / Agentic AI solution design.
- Experience designing AI-led engineering workflows.
- Hands-on understanding of prompt engineering, AI orchestration, validation workflows, and output governance.
- Ability to define AI agents, workflows, guardrails, and review mechanisms.
- Understanding of hallucination mitigation and human-in-the-loop validation.
- Experience in large-scale application modernization or legacy transformation.
- Good understanding of legacy platforms such as HP NonStop, COBOL, C++, batch processing, or mainframe-style systems.
- Ability to apply AI for:
- code comprehension
- reverse engineering
- rule extraction
- dependency mapping
- documentation
- test generation
- Experience with Azure-based modern platforms.
- Good understanding of .NET / C# / API-based architecture.
- Familiarity with CI/CD, DevOps, cloud security, and engineering automation.
- Ability to work with Solution Architects and Platform Engineers to align AI outputs with target architecture.
- Strong Agile delivery experience.
- Experience working in sprint-based and phased modernization programs.
- Ability to guide distributed teams across offshore and onshore models.
- Strong stakeholder communication and technical leadership skills.
Core AI Skills
About UsAt 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.- Strong experience in AI / GenAI / Agentic AI solution design.
- Experience designing AI-led engineering workflows.
- Hands-on understanding of prompt engineering, AI orchestration, validation workflows, and output governance.
- Ability to define AI agents, workflows, guardrails, and review mechanisms.
- Understanding of hallucination mitigation and human-in-the-loop validation.
- Experience in large-scale application modernization or legacy transformation.
- Good understanding of legacy platforms such as HP NonStop, COBOL, C++, batch processing, or mainframe-style systems.
- Ability to apply AI for:
- code comprehension
- reverse engineering
- rule extraction
- dependency mapping
- documentation
- test generation
- Experience with Azure-based modern platforms.
- Good understanding of .NET / C# / API-based architecture.
- Familiarity with CI/CD, DevOps, cloud security, and engineering automation.
- Ability to work with Solution Architects and Platform Engineers to align AI outputs with target architecture.
- Strong Agile delivery experience.
- Experience working in sprint-based and phased modernization programs.
- Ability to guide distributed teams across offshore and onshore models.
- Strong stakeholder communication and technical leadership skills.
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.
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
