TCS Walk-in Drive Vizag 2026 | Agentic AI Engineer | Experienced Professionals
Job Description
Eligibility Criteria
Top engineering graduates and tech professionals possessing a mandatory 15 years of continuous, full-time education.
Mid-to-senior level developers with 3 to 10 years of corporate experience, specifically focusing on enterprise tech solutions and AI integration.
Proven background in digital transformation, with an eagerness to participate in an in-person walk-in interview at the Visakhapatnam campus.
Deep foundational knowledge of machine learning ecosystems and a passion for shaping AI-driven enterprise applications.
Job Responsibilities & Core Skills Required
Architect Agentic Workflows: Design and deploy sophisticated autonomous systems using Large Language Models (LLMs), focusing heavily on single and multi-agent orchestration, function calling, and state memory management.
Develop Generative AI Pipelines: Build robust Retrieval-Augmented Generation (RAG) pipelines that seamlessly query enterprise knowledge bases, wikis, and ticketing systems to enhance agent accuracy and reduce hallucinations.
Optimize Cloud Infrastructure: Scale advanced AI applications by leveraging top-tier cloud infrastructure management strategies, including Kubernetes containerization, OpenShift, and streamlined CI/CD pipelines.
Master Agentic Frameworks: Utilize advanced development tools like LangChain and Model Context Protocol (MCP) to seamlessly route tasks, integrate contextual data, and coordinate complex AI workflows.
Implement AI Observability (AgentOps): Establish rigorous tracking mechanisms to monitor agent behavior, evaluate quality signals, and create continuous feedback loops for enterprise-grade reliability.
Engineer Responsible AI: Design secure, human-in-the-loop governance policies, ensuring safe tool access, data privacy, and strict credential management within the enterprise software development lifecycle.
Advanced Programming Proficiency: Write highly optimized, scalable backend code utilizing modern languages like Python, .Net, or Java, alongside deep learning frameworks such as TensorFlow, PyTorch, and Keras.
Application Process Overview
Securing a highly coveted position in Machine Learning Engineering Roles at TCS requires strategic preparation for their in-person walk-in drive. Begin by updating your resume to prominently feature your exact expertise in Generative AI, LLMs, and cloud containerization technologies.
On the day of the drive (13th June 2026), ensure you arrive at the TCS Operations facility at Millennium Towers, Visakhapatnam, well within the 9 AM to 1 PM window. Be prepared for rigorous technical evaluations covering agentic frameworks, Python programming, and cloud deployment architectures.
To officially register your profile in the TCS database and review further venue specifics, please scroll down to the bottom of this page. Click the "Apply Now" button located in the final section to complete your pre-registration process before the walk-in date.
Conclusion
Joining TCS as an Agentic AI Engineer is a monumental step toward leading the AI-first revolution and driving global digital transformation. Prepare your technical portfolio, sharpen your framework knowledge, and confidently take on this exclusive walk-in opportunity to accelerate your tech career.
Frequently Asked Questions (FAQs)
1. What core skills are evaluated during the TCS Agentic AI walk-in interview? Interviewers will focus heavily on your practical experience with Generative AI workflows, LLM orchestration (LangChain), RAG pipelines, and cloud-native deployments (Kubernetes). Strong programming skills in Python, Java, or .Net are also mandatory.
2. Is this TCS IT job in Visakhapatnam open to freshers? No, this specific walk-in recruitment drive strictly requires seasoned IT professionals with 3 to 10 years of active corporate experience in software development and AI automation.
3. What are the exact educational requirements for this enterprise software development role? TCS mandates a minimum of 15 years of full-time education. This typically includes a standard 10+2 academic background followed by a comprehensive 3-year or 4-year degree program (e.g., B.Tech, MCA, or M.Tech).