JAVA + AI Architect
Zensar
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This role on the market
3,845 open architect roles across 417 companies are on ApplySarthi right now, most of them in Bengaluru (256), Hyderabad (124), Delhi NCR (70).
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What architect roles keep asking for: AWS (33%), Python (24%), Azure (22%), GCP (15%), Customer success (13%), Generative AI (13%), Stakeholder management (13%), LLMs (12%) — counted across their open postings here.
AWS jobs · Generative AI jobs · Java jobs · LLMs jobs
Zensar has 206 open roles listed here.
- Guidewire ClaimCenter Developer
- Guidewire Integration Gateway Developer
- Guidewire Technical Architect
- Guidewire Integration Developer + Integration Gateway
- Guidewire PolicyCenter Rating Developer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for architect roles keep coming back to AWS, Python, Azure, GCP. Practise those questions before you sit with Zensar.
Questions you are likely to be asked
- Why do you want to join Zensar?
- What is your experience with Java? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the JAVA + AI Architect at Zensar interview free →Job Summary We are seeking a highly experienced Java + AI Architect to lead the design and implementation of enterprise-scale applications powered by Artificial Intelligence and Generative AI. The ideal candidate will have deep expertise in Java-based application architecture, cloud-native technologies, AI/ML platforms, Large Language Models (LLMs), and enterprise integration patterns. Preferred Skills Experience in building enterprise AI platforms. Knowledge of MLOps and Model Lifecycle Management. Experience with AI security, Responsible AI, and compliance frameworks. Exposure to Retail, BFSI, Healthcare, or Manufacturing domains. AI and Cloud certifications from Microsoft, AWS, Google, or equivalent. Educational Qualification Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. Soft Skills Excellent stakeholder management and communication skills. Strong analytical and problem-solving abilities. Strategic thinking and decision-making capabilities. Ability to lead globally distributed teams. Strong consulting and client-facing skills. Nice to Have Experience designing enterprise-scale AI transformation programs. Knowledge of Multi-Agent Architectures and Autonomous AI Systems. Published technical papers, patents, or conference presentations in AI or enterprise architecture. Experience with AI Centers of Excellence (CoE) and innovation initiatives.
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Listed on oraclehcm · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.