ApplySarthiAgentic AI Engineer
Zensar
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Skills named in this job
Read from the description itself, not inferred.
This role on the market
881 open agentic roles across 186 companies are on ApplySarthi right now, most of them in Bengaluru (65), Hyderabad (23), Pune (15).
- Full-Stack AI Engineer / Data Scientist – Agentic SystemsRoche · hyderabad
- IN_Senior Manager_ FDC, GenAI_Agentic Automation _Advisory_BangalorePwc · bengaluru
- Software Engineer, Agentic AIRoku
- GTM/Sales Specialist, Modernization and Agentic Enterprise Transformation, Mainframe ModAmazon Web Services
- Principle Technical Program Manager, FAIM (Full Funnel Agentic Intelligence and Models)Amazon
What agentic roles keep asking for: LLMs (49%), Python (46%), Observability (34%), AWS (33%), Generative AI (28%), RAG (25%), Machine learning (23%), Java (23%) — counted across their open postings here.
Agentic AI Engineer jobs in India · Azure jobs · CI/CD jobs · Kubernetes jobs · MLOps jobs
Zensar has 278 open roles listed here.
- Quality Assurance Analyst - Advanced
- Guidewire Technical Architect
- Guidewire ClaimCenter Developer
- Monitoring-Operations Support-Infrastructure Monitoring
- AES - DE - FED - React
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for agentic roles keep coming back to LLMs, Python, Observability, AWS. 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 Observability? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Agentic AI Engineer at Zensar interview free →Key Responsibilities Design and implement CI/CD pipelines for AI solutions. Automate infrastructure provisioning using Terraform or Bicep. Manage AI environment deployments across dev, test, and production. Implement monitoring, logging, and observability for AI services. Configure secure environment setup, networking, and access controls. Manage model deployment pipelines and versioning. Ensure scalable and reliable deployment of agents. Implement automated rollback and resilience strategies. Required Skills Azure DevOps / GitHub Actions Terraform / Infrastructure as Code Kubernetes / containerization Monitoring tools (Application Insights, Prometheus, etc.) Cloud networking and security Preferred Experience AI platform deployments MLOps pipelines Model lifecycle management
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
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Listed on oraclehcm · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.