Headline

AI Engineer @ TCS | Generative AI & Agentic Systems | Enterprise AI Solutions

About

AI Engineer with ~3 years of experience working across multiple industries including healthcare, HR, IT, retail, education, and cybersecurity, building production grade Generative AI and Agentic systems tailored to real business needs. Part of the AI Engineering team at Tata Consultancy Services, focused on identifying emerging advancements in AI and taking them from proof-of-concept to production across enterprise clients. Experience spans designing and building agentic systems, integrating them into existing workflows, and ensuring they operate reliably in real-world environments. Work involves understanding trade-offs, limitations, and the practical impact of different approaches, not just implementing them. Recognized multiple times within the organization for contributions, ownership, and proactive problem-solving. Actively exploring and implementing evolving AI technologies to evaluate their strengths, limitations, and production readiness. Also write about practical insights and real-world challenges in building AI systems from experience and learning on Medium: https://medium.com/@sanathgoutham Skills and technologies are listed in the Skills section.

Location

Bengaluru

AI stack

langchain

langgraph

mcp

openai

Work experience

Systems Engineer - AI Engineering at Tata Consultancy Services, Jun 2023 - Present · 3 yrs, Bengaluru, - Designed and deployed enterprise-grade Generative AI systems using Python, FastAPI, LangChain (LangGraph, Deepagents), and Microsoft Foundry, enabling AI-driven workflows across business units - Built and maintained multi-agent systems and orchestration workflows, integrating APIs, tools, and enterprise data sources - Developed backend services and integration layers connecting AI systems with internal platforms, databases, and microservices - Implemented monitoring, logging, and CI/CD pipelines for AI services using Docker and Azure DevOps to ensure production reliability - Built ML models for ticket classification and routing, improving resolution accuracy and automation coverage - Defined and tracked system performance metrics (latency, accuracy, failure cases) in collaboration with stakeholders to continuously improve deployed solutions

Intern at Ekathva Innovations, Aug 2022 - Sep 2022 · 2 mos, Remote, The internship programme was on "Big Data Analytics and Data Visualization using PySpark, Elastic and Kibana", where I worked on and completed the project "Implementation of analytics, machine learning, searching and visualization on Web Phishing data set".

Machine Learning Intern at Tequed Labs, Sep 2021 - Sep 2021 · 1 mo, Remote

Education

Bachelor's degree, Computer Science Engineering, Jawaharlal Nehru national college of engineering

Public links

github: https://github.com/Lancer59