Your browser does not support javascript! Please enable it, otherwise web will not work for you.

AI Expert / Principal AI Engineer @ Tata Consultancy

Home > Software Development






Tata Consultancy  AI Expert / Principal AI Engineer

Job Description

AI Expert / Principal AI Engineer for AI Architecture Board


Experience: 1018+ years


Role Type: Senior / Lateral Expert


Focus: Enterprisescale AI, GenAI, Agentic AI


Role Purpose

  • Act as a technical authority for designing, building, and scaling enterprisegrade AI solutions
  • Anchor complex AI programs beyond PoCs, driving reliability, scale, and business impact

Key Responsibilities

  • Architect and deliver productionready AI / GenAI / Agentic AI systems
  • Own endtoend AI solutioning: problem framing, data strategy, model approach, deployment architecture
  • Drive industrialization of AI (scalability, performance, cost, governance)
  • Lead technical design reviews and resolve complex AI engineering challenges
  • Mentor senior engineers and define AI engineering standards and patterns
  • Partner with business and domain leaders to translate strategic problems into AIfirst solutions

Core AI & GenAI Expertise

  • Deep handson experience with machine learning and modern GenAI techniques
  • Strong understanding of LLMbased systems (prompting strategies, RAG patterns, orchestration, evaluation)
  • Experience with agentic or autonomous AI workflows is a strong advantage
  • Ability to evaluate tradeoffs across accuracy, latency, cost, and maintainability

Python Expertise (AI / Data Science Expert Level)

  • Expertlevel Python for AI and data science workloads
  • Advanced use of Pandas and NumPy for largescale data preparation and feature engineering
  • Ability to write clean, scalable, productionquality Python code (modular design, appropriate OOP, performance awareness)
  • Support endtoend AI workflows using Python (data prep, training/evaluation hooks, inference pipelines)
  • Use visualization and diagnostics (e.g., Matplotlib or similar) to validate data and model behavior
  • Strong discipline in engineering hygiene (Git, environments, reproducibility, reviewable code)

Data & Platform Experience

  • Strong experience with data engineering and data platforms (pipelines, storage, transformations)
  • Handson exposure to cloudbased AI and data platforms (Azure, AWS, GCP, Databricks, Snowflake, etc.)
  • Familiarity with MLOps / LLMOps concepts is highly desirable

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Tata Consultancy
Location(s): Hyderabad

+ View Contactajax loader


Keyskills:   Agentic Ai Generative Ai Machine Learning

 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

DevOps Engineer- Nvidia Emulation, Bangalore

  • Wipro PARI
  • 3 - 7 years
  • Bengaluru
  • 1 hour ago
₹ Not Disclosed

Java Springboot Microservice cloud with(Angular/React)

  • Cognizant
  • 6 - 11 years
  • Bengaluru
  • 4 hours ago
₹ Not Disclosed

Senior Software Development Engineer - Airborne

  • Larsen & Toubro
  • 5 - 10 years
  • Chennai
  • 10 hours ago
₹ Not Disclosed

Data Engineer

  • Capgemini
  • 8 - 13 years
  • Pune
  • 15 hours ago
₹ Not Disclosed

Tata Consultancy

Capital Placement Services